This summary provides an overview of a document describing a Sierpinski carpet fractal monopole antenna (SCFMA) designed for ultra-wideband applications:
1) The SCFMA is developed up to two iterations to maximize bandwidth by utilizing the space-filling and self-similar properties of the Sierpinski carpet fractal.
2) The monopole patch size is optimized to minimize the overall antenna area.
3) The SCFMA achieves bandwidth ranges of 2.6-4.0 GHz, 2.5-4.3 GHz, and 2.4-4.4 GHz for the base case, first, and second iterations, respectively, on an FR4
Novel approach for hybrid MAC scheme for balanced energy and transmission in ...IJECEIAES
Hybrid medium access control (MAC) scheme is one of the prominent mechanisms to offer energy efficiency in wireless sensor network where the potential features for both contention-based and schedule-based approaches are mechanized. However, the review of existing hybrid MAC scheme shows many loopholes where mainly it is observed that there is too much inclusion of time-slotting or else there is an inclusion of sophisticated mechanism not meant for offering flexibility to sensor node towards extending its services for upcoming applications of it. Therefore, this manuscript introduces a novel hybrid MAC scheme which is meant for offering cost effective and simplified scheduling operation in order to balance the performance of energy efficiency along with data aggregation performance. The simulated outcome of the study shows that proposed system offers better energy consumption, better throughput, reduced memory consumption, and faster processing in contrast to existing hybrid MAC protocols.
Solution for intra/inter-cluster event-reporting problem in cluster-based pro...IJECEIAES
In recent years, wireless sensor networks (WSNs) have been considered one of the important topics for researchers due to their wide applications in our life. Several researches have been conducted to improve WSNs performance and solve their issues. One of these issues is the energy limitation in WSNs since the source of energy in most WSNs is the battery. Accordingly, various protocols and techniques have been proposed with the intention of reducing power consumption of WSNs and lengthen their lifetime. Cluster-oriented routing protocols are one of the most effective categories of these protocols. In this article, we consider a major issue affecting the performance of this category of protocols, which we call the intra/inter-cluster event-reporting problem (IICERP). We demonstrate that IICERP severely reduces the performance of a cluster-oriented routing protocol, so we suggest an effective Solution for IICERP (SIICERP). To assess SIICERP’s performance, comprehensive simulations were performed to demonstrate the performance of several cluster-oriented protocols without and with SIICERP. Simulation results revealed that SIICERP substantially increases the performance of cluster-oriented routing protocols.
Mitigation of packet loss with end-to-end delay in wireless body area network...IJECEIAES
The wireless body area network (WBAN) has been proposed to offer a solution to the problem of population ageing, shortage in medical facilities and different chronic diseases. The development of this technology has been further fueled by the demand for real-time application for monitoring these cases in networks. The integrity of communication is constrained by the loss of packets during communication affecting the reliability of WBAN. Mitigating the loss of packets and ensuring the performance of the network is a challenging task that has sparked numerous studies over the years. The WBAN technology as a problem of reducing network lifetime; thus, in this paper, we utilize cooperative routing protocol (CRP) to improve package delivery via end-to-end latency and increase the length of the network lifetime. The end-to-end latency was used as a metric to determine the significance of CRP in WBAN routing protocols. The CRP increased the rate of transmission of packets to the sink and mitigate packet loss. The proposed solution has shown that the end-to-end delay in the WBAN is considerably reduced by applying the cooperative routing protocol. The CRP technique attained a delivery ratio of 0.8176 compared to 0.8118 when transmitting packets in WBAN.
ADAPTIVE RANDOM SPATIAL BASED CHANNEL ESTIMATION (ARSCE) FOR MILLIMETER WAVE ...IJCNCJournal
Millimeter-wave and mMIMO communications are the most essential success systems for next-generation wireless sensor networks to have enormous amounts of accessible throughput and spectrum. Through installing huge antenna arrays at the base station and performing coherent transceiver processing, mMIMO is a potential technology for enhancing the bandwidth efficiency of wireless sensor networks. The use of mmWave frequencies for mMIMO systems solves the problem of high path-loss through offering greater antenna gains. In this work, we provide a design with a random spatial sample structure that incorporates a totally random step before the analogue is received. It contains a totally random step before the analogue received signals are sent into the digital component of the HBF receiver. Adaptive random spatial based channel estimation (ARSCE) is proposed for channel session measurement collection, and an analogue combiner with valves has been used to estimate the signals at each receiving antenna. The proposed optimization problem formulation attempts to discover the orientations and gains of wideband channel routes. In addition, our proposed model has compared to various state-of-art techniques while considering error minimization.
Massive multiple-input multiple-output (MIMO) systems are considered a promising solution to minimize multiuser interference (MUI) based on simple precoding techniques with a massive antenna array at a base station (BS). This paper presents a novel approach of beam division multiple access (BDMA) which BS transmit signals to multiusers at the same time via different beams based on hybrid beamforming and user-beam schedule. With the selection of users whose steering vectors are orthogonal to each other, interference between users is significantly improved. While, the efficiency spectrum of proposed scheme reaches to the performance of fully digital solutions, the multiuser interference is considerably reduced.
Performance of symmetric and asymmetric links in wireless networks IJECEIAES
Wireless networks are designed to provide the enabling infrastructure for emerging technological advancements. The main characteristics of wireless networks are: Mobility, power constraints, high packet loss, and lower bandwidth. Nodes’ mobility is a crucial consideration for wireless networks, as nodes are moving all the time, and this may result in loss of connectivity in the network. The goal of this work is to explore the effect of replacing the generally held assumption of symmetric radii for wireless networks with asymmetric radii. This replacement may have a direct impact on the connectivity, throughput, and collision avoidance mechanism of mobile networks. The proposed replacement may also impact other mobile protocol’s functionality. In this work, we are mainly concerned with building and maintaining fully connected wireless network with the asymmetric assumption. For this extent, we propose to study the effect of the asymmetric links assumption on the network performance using extensive simulation experiments. Extensive simulation experiments were performed to measure the impact of these parameters. Finally, a resource allocation scheme for wireless networks is proposed for the dual rate scenario. The performance of the proposed framework is evaluated using simulation.
A Novel Routing Strategy Towards Achieving Ultra-Low End-to-End Latency in 6G...IJCNCJournal
Compared to 5G, 6G networks will demand even more ambitious reduction in endto-end latency for packet communication. Recent attempts at breaking the barrier of end-to-end millisecond latencies have focused on re-engineering networks using a hybrid approach consisting of an optical-fiber based backbone network architecture coupled with high-speed wireless networks to connect end-devices to the backbone network. In our approach, a wide area network (WAN) is considered with a high-speed optical fiber grid network as its backbone. After messages from a source node enter the backbone network through a local wireless network, these are delivered very fast to an access point in the backbone network closest to the destination node, followed by its transfer to the local wireless network for delivery to the destination node. We propose a novel routing strategy which is based on distributing the messages in the network in such a way that the average queuing delay of the messages through the backbone network is minimized, and also the route discovery time at each router in the backbone network is drastically reduced. Also, multiple messages destined towards a particular destination router in the backbone network are packed together to form a mailbag, allowing further reductions in processing overheads at intermediate routers and pipelining of mailbag formation and route discovery operations in each router. The performance of the proposed approach green based on these ideas has been theoretically analyzed and then simulated using the ns-3 simulator. Our results show that the average end-to-end latency is less than 380 µs (with only 46-79 µs within the backbone network under varying traffic conditions) for a 1 KB packet size, when using a 500 Gbps optical fiber based backbone network laid over a 15 Km × 15 Km area, a 50 Mbps uplink channel from the source to the backbone network, and a 1 Gbps downlink channel from the backbone network to the destination. The significant reduction in end-to-end latency as compared to existing routing solutions clearly demonstrates the potential of our proposed routing strategy for meeting the ultra-low latency requirements of current 5G and future 6G networks, particularly for mobile edge computing (MEC) application scenarios.
A Novel Weighted Clustering Based Approach for Improving the Wireless Sensor ...IJERA Editor
Great lifetime and reliability is the key aim of Wireless Sensor Network (WSN) design. As for prolonging
lifetime of this type of network, energy is the most important resource; all recent researches are focused on more
and more energy efficient techniques. Proposed work is Weighted Clustering Approach based on Weighted
Cluster Head Selection, which is highly energy efficient and reliable in mobile network scenario. Weight
calculation using different attributes of the nodes like SNR (Signal to Noise Ratio), Remaining Energy, Node
Degree, Mobility, and Buffer Length gives efficient Cluster Head (CH) on regular interval of time. CH rotation
helps in optimum utilization of energy available with all nodes; results in prolonged network lifetime.
Implementation is done using the NS2 network simulator and performance evaluation is carried out in terms of
PDR (Packet Delivery Ratio), End to End Delay, Throughput, and Energy Consumption. Demonstration of the
obtained results shows that proposed work is adaptable for improving the performance. In order to justify the
solution, the performance of proposed technique is compared with the performance of traditional approach. The
performance of proposed technique is found optimum as compared to the traditional techniques.
Novel approach for hybrid MAC scheme for balanced energy and transmission in ...IJECEIAES
Hybrid medium access control (MAC) scheme is one of the prominent mechanisms to offer energy efficiency in wireless sensor network where the potential features for both contention-based and schedule-based approaches are mechanized. However, the review of existing hybrid MAC scheme shows many loopholes where mainly it is observed that there is too much inclusion of time-slotting or else there is an inclusion of sophisticated mechanism not meant for offering flexibility to sensor node towards extending its services for upcoming applications of it. Therefore, this manuscript introduces a novel hybrid MAC scheme which is meant for offering cost effective and simplified scheduling operation in order to balance the performance of energy efficiency along with data aggregation performance. The simulated outcome of the study shows that proposed system offers better energy consumption, better throughput, reduced memory consumption, and faster processing in contrast to existing hybrid MAC protocols.
Solution for intra/inter-cluster event-reporting problem in cluster-based pro...IJECEIAES
In recent years, wireless sensor networks (WSNs) have been considered one of the important topics for researchers due to their wide applications in our life. Several researches have been conducted to improve WSNs performance and solve their issues. One of these issues is the energy limitation in WSNs since the source of energy in most WSNs is the battery. Accordingly, various protocols and techniques have been proposed with the intention of reducing power consumption of WSNs and lengthen their lifetime. Cluster-oriented routing protocols are one of the most effective categories of these protocols. In this article, we consider a major issue affecting the performance of this category of protocols, which we call the intra/inter-cluster event-reporting problem (IICERP). We demonstrate that IICERP severely reduces the performance of a cluster-oriented routing protocol, so we suggest an effective Solution for IICERP (SIICERP). To assess SIICERP’s performance, comprehensive simulations were performed to demonstrate the performance of several cluster-oriented protocols without and with SIICERP. Simulation results revealed that SIICERP substantially increases the performance of cluster-oriented routing protocols.
Mitigation of packet loss with end-to-end delay in wireless body area network...IJECEIAES
The wireless body area network (WBAN) has been proposed to offer a solution to the problem of population ageing, shortage in medical facilities and different chronic diseases. The development of this technology has been further fueled by the demand for real-time application for monitoring these cases in networks. The integrity of communication is constrained by the loss of packets during communication affecting the reliability of WBAN. Mitigating the loss of packets and ensuring the performance of the network is a challenging task that has sparked numerous studies over the years. The WBAN technology as a problem of reducing network lifetime; thus, in this paper, we utilize cooperative routing protocol (CRP) to improve package delivery via end-to-end latency and increase the length of the network lifetime. The end-to-end latency was used as a metric to determine the significance of CRP in WBAN routing protocols. The CRP increased the rate of transmission of packets to the sink and mitigate packet loss. The proposed solution has shown that the end-to-end delay in the WBAN is considerably reduced by applying the cooperative routing protocol. The CRP technique attained a delivery ratio of 0.8176 compared to 0.8118 when transmitting packets in WBAN.
ADAPTIVE RANDOM SPATIAL BASED CHANNEL ESTIMATION (ARSCE) FOR MILLIMETER WAVE ...IJCNCJournal
Millimeter-wave and mMIMO communications are the most essential success systems for next-generation wireless sensor networks to have enormous amounts of accessible throughput and spectrum. Through installing huge antenna arrays at the base station and performing coherent transceiver processing, mMIMO is a potential technology for enhancing the bandwidth efficiency of wireless sensor networks. The use of mmWave frequencies for mMIMO systems solves the problem of high path-loss through offering greater antenna gains. In this work, we provide a design with a random spatial sample structure that incorporates a totally random step before the analogue is received. It contains a totally random step before the analogue received signals are sent into the digital component of the HBF receiver. Adaptive random spatial based channel estimation (ARSCE) is proposed for channel session measurement collection, and an analogue combiner with valves has been used to estimate the signals at each receiving antenna. The proposed optimization problem formulation attempts to discover the orientations and gains of wideband channel routes. In addition, our proposed model has compared to various state-of-art techniques while considering error minimization.
Massive multiple-input multiple-output (MIMO) systems are considered a promising solution to minimize multiuser interference (MUI) based on simple precoding techniques with a massive antenna array at a base station (BS). This paper presents a novel approach of beam division multiple access (BDMA) which BS transmit signals to multiusers at the same time via different beams based on hybrid beamforming and user-beam schedule. With the selection of users whose steering vectors are orthogonal to each other, interference between users is significantly improved. While, the efficiency spectrum of proposed scheme reaches to the performance of fully digital solutions, the multiuser interference is considerably reduced.
Performance of symmetric and asymmetric links in wireless networks IJECEIAES
Wireless networks are designed to provide the enabling infrastructure for emerging technological advancements. The main characteristics of wireless networks are: Mobility, power constraints, high packet loss, and lower bandwidth. Nodes’ mobility is a crucial consideration for wireless networks, as nodes are moving all the time, and this may result in loss of connectivity in the network. The goal of this work is to explore the effect of replacing the generally held assumption of symmetric radii for wireless networks with asymmetric radii. This replacement may have a direct impact on the connectivity, throughput, and collision avoidance mechanism of mobile networks. The proposed replacement may also impact other mobile protocol’s functionality. In this work, we are mainly concerned with building and maintaining fully connected wireless network with the asymmetric assumption. For this extent, we propose to study the effect of the asymmetric links assumption on the network performance using extensive simulation experiments. Extensive simulation experiments were performed to measure the impact of these parameters. Finally, a resource allocation scheme for wireless networks is proposed for the dual rate scenario. The performance of the proposed framework is evaluated using simulation.
A Novel Routing Strategy Towards Achieving Ultra-Low End-to-End Latency in 6G...IJCNCJournal
Compared to 5G, 6G networks will demand even more ambitious reduction in endto-end latency for packet communication. Recent attempts at breaking the barrier of end-to-end millisecond latencies have focused on re-engineering networks using a hybrid approach consisting of an optical-fiber based backbone network architecture coupled with high-speed wireless networks to connect end-devices to the backbone network. In our approach, a wide area network (WAN) is considered with a high-speed optical fiber grid network as its backbone. After messages from a source node enter the backbone network through a local wireless network, these are delivered very fast to an access point in the backbone network closest to the destination node, followed by its transfer to the local wireless network for delivery to the destination node. We propose a novel routing strategy which is based on distributing the messages in the network in such a way that the average queuing delay of the messages through the backbone network is minimized, and also the route discovery time at each router in the backbone network is drastically reduced. Also, multiple messages destined towards a particular destination router in the backbone network are packed together to form a mailbag, allowing further reductions in processing overheads at intermediate routers and pipelining of mailbag formation and route discovery operations in each router. The performance of the proposed approach green based on these ideas has been theoretically analyzed and then simulated using the ns-3 simulator. Our results show that the average end-to-end latency is less than 380 µs (with only 46-79 µs within the backbone network under varying traffic conditions) for a 1 KB packet size, when using a 500 Gbps optical fiber based backbone network laid over a 15 Km × 15 Km area, a 50 Mbps uplink channel from the source to the backbone network, and a 1 Gbps downlink channel from the backbone network to the destination. The significant reduction in end-to-end latency as compared to existing routing solutions clearly demonstrates the potential of our proposed routing strategy for meeting the ultra-low latency requirements of current 5G and future 6G networks, particularly for mobile edge computing (MEC) application scenarios.
A Novel Weighted Clustering Based Approach for Improving the Wireless Sensor ...IJERA Editor
Great lifetime and reliability is the key aim of Wireless Sensor Network (WSN) design. As for prolonging
lifetime of this type of network, energy is the most important resource; all recent researches are focused on more
and more energy efficient techniques. Proposed work is Weighted Clustering Approach based on Weighted
Cluster Head Selection, which is highly energy efficient and reliable in mobile network scenario. Weight
calculation using different attributes of the nodes like SNR (Signal to Noise Ratio), Remaining Energy, Node
Degree, Mobility, and Buffer Length gives efficient Cluster Head (CH) on regular interval of time. CH rotation
helps in optimum utilization of energy available with all nodes; results in prolonged network lifetime.
Implementation is done using the NS2 network simulator and performance evaluation is carried out in terms of
PDR (Packet Delivery Ratio), End to End Delay, Throughput, and Energy Consumption. Demonstration of the
obtained results shows that proposed work is adaptable for improving the performance. In order to justify the
solution, the performance of proposed technique is compared with the performance of traditional approach. The
performance of proposed technique is found optimum as compared to the traditional techniques.
Comparative study between metaheuristic algorithms for internet of things wir...IJECEIAES
Wireless networks are currently used in a wide range of healthcare, military, or environmental applications. Wireless networks contain many nodes and sensors that have many limitations, including limited power, limited processing, and narrow range. Therefore, determining the coordinates of the location of a node of the unknown location at a low cost and a limited treatment is one of the most important challenges facing this field. There are many meta-heuristic algorithms that help in identifying unknown nodes for some known nodes. In this manuscript, hybrid metaheuristic optimization algorithms such as grey wolf optimization and salp swarm algorithm are used to solve localization problem of internet of things (IoT) sensors. Several experiments are conducted on every meta-heuristic optimization algorithm to compare them with the proposed method. The proposed algorithm achieved high accuracy with low error rate (0.001) and low power consumption.
AN EFFICIENT INTRUSION DETECTION SYSTEM WITH CUSTOM FEATURES USING FPA-GRADIE...IJCNCJournal
An efficient Intrusion Detection System has to be given high priority while connecting systems with a network to prevent the system before an attack happens. It is a big challenge to the network security group to prevent the system from a variable types of new attacks as technology is growing in parallel. In this paper, an efficient model to detect Intrusion is proposed to predict attacks with high accuracy and less false-negative rate by deriving custom features UNSW-CF by using the benchmark intrusion dataset UNSW-NB15. To reduce the learning complexity, Custom Features are derived and then Significant Features are constructed by applying meta-heuristic FPA (Flower Pollination algorithm) and MRMR (Minimal Redundancy and Maximum Redundancy) which reduces learning time and also increases prediction accuracy. ENC (ElasicNet Classifier), KRRC (Kernel Ridge Regression Classifier), IGBC (Improved Gradient Boosting Classifier) is employed to classify the attacks in the datasets UNSW-CF, UNSW and recorded that UNSW-CF with derived custom features using IGBC integrated with FPA provided high accuracy of 97.38% and a low error rate of 2.16%. Also, the sensitivity and specificity rate for IGB attains a high rate of 97.32% and 97.50% respectively.
ADAPTIVE SENSOR SENSING RANGE TO MAXIMISE LIFETIME OF WIRELESS SENSOR NETWORK IJCNCJournal
Wireless Sensor Network (WSN) is commonly used to collect information from a remote area and one of the most important challenges associated with WSN is to monitor all targets in a given area while maximizing network lifetime. In wireless communication, energy consumption is proportional to the breadth of sensing range and path loss exponent. Hence, the energy consumption of communication can be minimized by varying the sensing range and decreasing the number of messages being sent. Sensing energy can be optimized by reducing the repeated coverage target. In this paper, an Adaptive Sensor Sensing Range (ASSR) technique is proposed to maximize the WSN Lifetime. This work considers a sensor network with an adaptive sensing range that are randomly deployed in the monitoring area. The sensor is adaptive in nature and can be modified in order to save power while achieving maximum time of monitoring to increase the lifetime of WSN network. The objective of ASSR is to find the best sensing range for each sensor to cover all targets in the network, which yields maximize the time of monitoring of all targets and eliminating double sensing for the same target. Experiments were conducted using an NS3 simulator to verify our proposed technique. Results show that ASSR is capable to improve the network lifetime by 20% as compared to other recent techniques in the case of a small network while achieving an 8% improvement for the case of a large networks.
Approach to minimizing consumption of energy in wireless sensor networks IJECEIAES
The Wireless Sensor Networks (WSN) technology has benefited from a central position in the research space of future emerging networks by its diversity of applications fields and also by its optimization techniques of its various constraints, more essentially, the minimization of nodal energy consumption to increase the global network lifetime. To answer this saving energy problem, several solutions have been proposed at the protocol stack level of the WSN. In this paper, after presenting a state of the art of this technology and its conservation energy techniques at the protocol stack level, we were interested in the network layer to propose a routing solution based on a localization aspect that allows the creation of a virtual grid on the coverage area and introduces it to the two most well-known energy efficiency hierarchical routing protocols, LEACH and PEGASIS. This allowed us to minimize the energy consumption and to select the clusters heads in a deterministic way unlike LEACH which is done in a probabilistic way and also to minimize the latency in PEGASIS, by decomposing its chain into several independent chains. The simulation results, under "MATLABR2015b", have shown the efficiency of our approach in terms of overall residual energy and network lifetime.
An energy-efficient cluster head selection in wireless sensor network using g...TELKOMNIKA JOURNAL
Clustering is considered as one of the most prominent solutions to preserve theenergy in the wireless sensor networks. However, for optimal clustering, anenergy efficient cluster head selection is quite important. Improper selectionofcluster heads(CHs) consumes high energy compared to other sensor nodesdue to the transmission of data packets between the cluster members and thesink node. Thereby, it reduces the network lifetime and performance of thenetwork. In order to overcome the issues, we propose a novelcluster headselection approach usinggrey wolf optimization algorithm(GWO) namelyGWO-CH which considers the residual energy, intra-cluster and sink distance.In addition to that, we formulated an objective function and weight parametersfor anefficient cluster head selection and cluster formation. The proposedalgorithm is tested in different wireless sensor network scenarios by varyingthe number of sensor nodes and cluster heads. The observed results conveythat the proposed algorithm outperforms in terms of achieving better networkperformance compare to other algorithms.
AN OPTIMUM ENERGY CONSUMPTION HYBRID ALGORITHM FOR XLN STRATEGIC DESIGN IN WSN’SIJCNCJournal
In this paper, X-Layer protocol is originated which executes mobility error prediction (MEP) algorithm to calculate the remaining energy level of each node. This X-Layer protocol structure employs the mobility aware protocol that senses the mobility concerned to each node with the utilization of Ad-hoc On-Demand Distance Vector (AODV), which shares the information or data specific to the distance among individual nodes. With the help of this theory, the neighbour list will be updated only to those nodes which are mobile resulting in less energy consumption when compared to all (static/mobile) other nodes in the network. Apart from the MEP algorithm, clustering head (CH) election algorithm has also been specified to identify the relevant clusters whether they exists within the network region or not. Also clustering multi-hop routing (CMHR) algorithm was implemented in which the node can identify the cluster to which it belongs depending upon the distance from each cluster surrounding the node. Finally comprising the AODV routing protocol with the Two-Ray Ground method, we implement X-Layer protocol structure by considering MAC protocol in accordance to IEEE 802.15.4 to obtain the best results in energy consumption and also by reducing the energy wastage with respect to each node. The effective results had been illustrated through Network Simulator-II platform.
ON THE PERFORMANCE OF INTRUSION DETECTION SYSTEMS WITH HIDDEN MULTILAYER NEUR...IJCNCJournal
Deep learning applications, especially multilayer neural network models, result in network intrusion detection with high accuracy. This study proposes a model that combines a multilayer neural network with Dense Sparse Dense (DSD) multi-stage training to simultaneously improve the criteria related to the performance of intrusion detection systems on a comprehensive dataset UNSW-NB15. We conduct experiments on many neural network models such as Recurrent Neural Network (RNN), Long-Short Term Memory (LSTM), Gated Recurrent Unit (GRU), etc. to evaluate the combined efficiency with each model through many criteria such as accuracy, detection rate, false alarm rate, precision, and F1-Score.
AN ENHANCED HYBRID ROUTING AND CLUSTERING TECHNIQUE FOR WIRELESS SENSOR NETWORKijwmn
Wireless Sensor Networks (WSN) have extensively deployed in a wide range of applications. However, WSN still faces several limitations in processing capabilities, memory, and power supply of sensor nodes. It is required to extend the lifetime of WSN. Mainly this is achieved by routing protocols choosing the best transmission path in-network with desired power conservation.This cause is developing a generic protocol framework for WSNa big challenge. This work proposed a new routing technique, described as Hybrid Routing-Clustering (HRC) model. This new approach takes advantage of clustering and routing procedures defined in K-Mean clustering and AODV routing, which constituted of three phases. This development aims to achieve enhanced power conservation rate in consequence network lifetime. An extensive evaluation methodology utilized to measure the performance of the proposed model in simulated scenarios.The results categorized in terms of the average amount of packet received and power conservation rate. The Hybrid Routing-Clustering (HRC) model was determined, showed enhanced results regarding both parameters. In the end, they are comparing these results with well-known routing and well-known clustering algorithms.
Survey: energy efficient protocols using radio scheduling in wireless sensor ...IJECEIAES
An efficient energy management scheme is crucial factor for design and implementation of any sensor network. Almost all sensor networks are structured with numerous small sized, low cost sensor devices which are scattered over the large area. To improvise the network performance by high throughput with minimum energy consumption, an energy efficient radio scheduling MAC protocol is effective solution, since MAC layer has the capability to collaborate with distributed wireless networks. The present survey study provides relevant research work towards radio scheduling mechanism in the design of energy efficient wireless sensor networks (WSNs). The various radio scheduling protocols are exist in the literature, which has some limitations. Therefore, it is require developing a new energy efficient radio scheduling protocol to perform multi tasks with minimum energy consumption (e.g. data transmission). The most of research studies paying more attention towards to enhance the overall network lifetime with the aim of using energy efficient scheduling protocol. In that context, this survey study overviews the different categories of MAC based radio scheduling protocols and those protocols are measured by evaluating their data transmission capability, energy efficiency, and network performance. With the extensive analysis of existing works, many research challenges are stated. Also provides future directions for new WSN design at the end of this survey.
CONTEXT-AWARE ENERGY CONSERVING ROUTING ALGORITHM FOR INTERNET OF THINGSIJCNCJournal
Internet of Things (IoT) is the fast- growing technology, mostly used in smart mobile devices such as notebooks, tablets, personal digital assistants (PDA), smartphones, etc. Due to its dynamic nature and the limited battery power of the IoT enabled smart mobile nodes, the communication links between intermediate relay nodes may fail frequently, thus affecting the routing performance of the network and also the availability of the nodes. Existing algorithm does not concentrate about communication links and battery power/energy, but these node links are a very important factor for improving the quality of routing in IoT. In this paper, Context-aware Energy Conserving Algorithm for routing (CECA) was proposed which employs QoS routing metrics like Inter-Meeting Time and residual energy and has been applied to IoT enabled smart mobile devices using different technologies with different microcontroller which resulted in an increased network lifetime, throughput and reduced control overhead and the end to end delay. Simulation results show that, with respect to the speed of the mobile nodes from 2 to 10m/s, CECA increases the network lifetime, thereby increasing the average residual energy by 11.1% and increasing throughput there by reduces the average end to end delay by 14.1% over the Energy-Efficient Probabilistic Routing (EEPR) algorithm. With respect to the number of nodes increases from 10 to 100 nodes, CECA algorithms increase the average residual energy by16.1 % reduces the average end to end delay by 15.9% and control overhead by 23.7% over the existing EEPR
Design and implementation of grid based clustering in WSN using dynamic sink ...journalBEEI
A wireless sensor networks (WSNs) play a significant application, especially in the monitored remoting environmental, which enables by the availability of sensors which are cheaper, smaller, and intelligent. The equipment of such sensors be with wireless interfaces, which a communication with other sensors occurs for creating a network, that contains many distributed nodes. The closest nodes to the sink are exploited at an enormous traffic load while the data from the whole regions are forwarded between them to reach the sink. This result in exhausting their energy quickly and partitioning the network. This is solved by changing the sink node position in Grid based clustering technique, which considers the optimal method for this purpose. A simulation with MATLAB can be applied for grid based clustering technique to evaluate the performance of WSN. The expected results deal with outperforms in throughput, reducing energy consumption and increasing residual energy, in addition to prolong the network lifetime of the sensor network.
ITA: The Improved Throttled Algorithm of Load Balancing on Cloud ComputingIJCNCJournal
Cloud computing makes the information technology industry boom. It is a great solution for businesses who want to save costs while ensuring the quality of service. One of the key issues that make cloud computing successful is the load balancing technique used in the load balancer to minimize time costs and optimize costs economically. This paper proposes an algorithm to enhance the processing time of tasks so that it can help improve the load balancing capacity on cloud computing. This algorithm, named as Improved Throttled Algorithm (ITA), is an improvement of Throttled Algorithm. The paper uses the Cloud Analyst tool to simulate. The selected algorithms are used to compare: Equally Load, Round Robin, Throttled and TMA. The simulation results show that the proposed algorithm ITA has improved the processing time of tasks, time spent processing requests and reduced the cost of Datacenters compared to the selected popular algorithms as above. The improvement of ITA is because of selecting virtual machines in an index table that is available but in order of priority. It helps response times and processing times remain stable, limits the idling resources, and cloud costs are minimized compared to selected algorithms.
An Ant colony optimization algorithm to solve the broken link problem in wire...IJERA Editor
Aco is a well –known metahuristic in which a colony of artificial ants cooperates in explain Good solution to a combinational optimization problem. Wireless sensor consisting of nodes with limited power is deployed to gather useful information From the field. In wireless sensor network it is critical to collect the information in an energy efficient Manner.ant colony optimization, a swarm intelligence based optimization technique, is widely used In network routing. A novel routing approach using an ant colony optimization algorithm is proposed for wireless sensor Network consisting of stable nodes illustrative example details description and cooperative performance test result the proposed approach are included. The approach is also implementing to a small sized hardware component as a router chip simulation result show that proposed algorithm Provides promising solution allowing node designers to efficiency operate routing tasks.
Rectangular and circular antennas design for Bluetooth applicationsTELKOMNIKA JOURNAL
The most researched and examined aspect of the communication system is the wireless connection. Without learning how to operate and use different types of antennas, your knowledge is incomplete. Microstrip patch antenna research has advanced significantly in recent years. When compared to standard antennas, microstrip patch antennas provide additional advantages and opportunities. It is of low volume, light weight, low cost, low appearance, compact and easy to manufacture. This study investigates the differences between rectangular and circular patch antennas. For Bluetooth applications, the center frequency of 2.4 GHz was chosen as the optimal resonant frequency. On a flame retardant (FR-4) epoxy substrate, the antenna dielectric constant is 4.4. Above the ground the base rises 3.6 mm. For the simulation process, high frequency simulation software (HFSS 15) is used as the program design. Antennas 1×1, 1×2, and 1×4 are designed for both circular and rectangular antennas. A comparison was made for both types of antennas and voltage standing wave ratio (VSWR), return losses, gain, directivity and half power beam width (HPBW) were found, and the feature of the rectangular antenna was shown.
Repeated Plus Shape Slot Fractal Antenna For WiMAX/WLAN Applicationijsrd.com
This paper describes a repeated plus shaped slot fractal antenna .This antenna show multiband behavior due to self similarity in their structure. Proposed Antenna achieves wide bandwidth ranging from 2.20 GHz to 3.51 GHz. This antenna utilized dielectric substrate which has dielectric constant 4.4 and thickness 1.6mm. Proposed antenna show percentages bandwidth 45 and it offer gain 3.05dBi, directivity 3.32dBi and antenna efficiency 93.98% at resonant frequency 2.41 GHz. So this plus shape slot fractal antenna shows various applications for WiMAX/WLAN.
A four-element UWB MIMO antenna using SRRs for application in satellite commu...IJECEIAES
This paper proposes a method for designing a new ultra wide band (UWB) multiple-input multiple-output (MIMO) antenna with two and four elements. First we presented an ultra-wide band antenna we studied these performances. Then, we studied the application of metamaterials to the design of MIMO antennas for miniaturization and the performance of antennas, in order to guarantee the proper functioning of the MIMO system with a much reduced separation distance between the radiating elements (λ/12), where the coupling can be very weak. The application of these circular double ring SRRs materials on the front plan of the antenna has contributed to the increasing of the antenna performance is studied in terms of S-Parameters, efficiency, diversity gain (DG), radiation properties and envelop correlation coefficient (ECC). It offers advantages such as the reduction of weight and congestion that is beneficial for their integration into satellite communications systems.
Design of Miniaturized Multiband Patch Antenna Using CSRR for WLAN/WiMAX Appl...TELKOMNIKA JOURNAL
A novel miniaturized multiband, single-feed microstrip patch antenna is presented in this paper for
WLAN and WiMAX applications. Both size reduction and multiband are obtained by etching the Multiple
Complementary Split Ring Resonators (MC-SRR) on the ground plane of the normal patch antenna. At
first, the normal patch antenna produces a single band of 5.15 GHz; 200 MHz (5.0500~5.2499).
Subsequently, a Single Circular Split Ring Resonator (SC-SRR) is etched on the ground plane and
produces a triple band of: 3.25 GHz; 288 MHz (3.1085~3.3964), 4.5 GHz; 101.3 MHz (4.4488~4.5501),
and 5.22 GHz; 220 MHz (5.1191~5.3400) and Double Single Circular Split Ring Resonator (DC-MCSRR)
with: 2.99 GHz; 60.7 MHz (2.9574~3.0181), 3.57 GHz; 324.7 MHz (3.4065~3.7312), and 5.1413 GHz;
115.4 MHz (5.0817~5.1971). The working bandwidths cover the desired frequency bands of WLAN
5.2 GHz and WiMAX 3.3/3.5 GHz. The proposed (MC-SRR) antenna can be employed to wireless
communication systems due to its simplicity in design, compactness and miniaturization.
DESIGN OF A COMPACT CIRCULAR MICROSTRIP PATCH ANTENNA FOR WLAN APPLICATIONSpijans
This paper presents the design of a compact circular microstrip patch antenna for WLAN applications
which covers the band 5.15 to 5.825 GHz. The antenna is designed using 1.4mm thick FR-4
(lossy)substrate with relative permittivity 4.4 and a microstrip line feed is used. The radius of the
circular patch is chosen as 7.62mm. To reduce the size and enhance the performance of the proposed
antenna, a circular slot is loaded on circular patch and a square slot is etched on the ground plane of
dimension 30mm×30mm. Design of the antenna is carried out using CST Microsoft Studio Sonimulation
Software. The proposed antenna resonates at 5.5 GHz with a wider bandwidth of 702 MHz and it provides
low return loss of -31.58 dB, good gain of 3.23 dB and directivity of 4.28 dBi and high efficiency of around
79% against the resonance frequency. The geometry of the proposed circular antenna with reduced size
and its various performance parameters such as return loss, bandwidth, VSWR, gain, directivity, efficiency
and radiation pattern plots are presented and discussed.
Comparative study between metaheuristic algorithms for internet of things wir...IJECEIAES
Wireless networks are currently used in a wide range of healthcare, military, or environmental applications. Wireless networks contain many nodes and sensors that have many limitations, including limited power, limited processing, and narrow range. Therefore, determining the coordinates of the location of a node of the unknown location at a low cost and a limited treatment is one of the most important challenges facing this field. There are many meta-heuristic algorithms that help in identifying unknown nodes for some known nodes. In this manuscript, hybrid metaheuristic optimization algorithms such as grey wolf optimization and salp swarm algorithm are used to solve localization problem of internet of things (IoT) sensors. Several experiments are conducted on every meta-heuristic optimization algorithm to compare them with the proposed method. The proposed algorithm achieved high accuracy with low error rate (0.001) and low power consumption.
AN EFFICIENT INTRUSION DETECTION SYSTEM WITH CUSTOM FEATURES USING FPA-GRADIE...IJCNCJournal
An efficient Intrusion Detection System has to be given high priority while connecting systems with a network to prevent the system before an attack happens. It is a big challenge to the network security group to prevent the system from a variable types of new attacks as technology is growing in parallel. In this paper, an efficient model to detect Intrusion is proposed to predict attacks with high accuracy and less false-negative rate by deriving custom features UNSW-CF by using the benchmark intrusion dataset UNSW-NB15. To reduce the learning complexity, Custom Features are derived and then Significant Features are constructed by applying meta-heuristic FPA (Flower Pollination algorithm) and MRMR (Minimal Redundancy and Maximum Redundancy) which reduces learning time and also increases prediction accuracy. ENC (ElasicNet Classifier), KRRC (Kernel Ridge Regression Classifier), IGBC (Improved Gradient Boosting Classifier) is employed to classify the attacks in the datasets UNSW-CF, UNSW and recorded that UNSW-CF with derived custom features using IGBC integrated with FPA provided high accuracy of 97.38% and a low error rate of 2.16%. Also, the sensitivity and specificity rate for IGB attains a high rate of 97.32% and 97.50% respectively.
ADAPTIVE SENSOR SENSING RANGE TO MAXIMISE LIFETIME OF WIRELESS SENSOR NETWORK IJCNCJournal
Wireless Sensor Network (WSN) is commonly used to collect information from a remote area and one of the most important challenges associated with WSN is to monitor all targets in a given area while maximizing network lifetime. In wireless communication, energy consumption is proportional to the breadth of sensing range and path loss exponent. Hence, the energy consumption of communication can be minimized by varying the sensing range and decreasing the number of messages being sent. Sensing energy can be optimized by reducing the repeated coverage target. In this paper, an Adaptive Sensor Sensing Range (ASSR) technique is proposed to maximize the WSN Lifetime. This work considers a sensor network with an adaptive sensing range that are randomly deployed in the monitoring area. The sensor is adaptive in nature and can be modified in order to save power while achieving maximum time of monitoring to increase the lifetime of WSN network. The objective of ASSR is to find the best sensing range for each sensor to cover all targets in the network, which yields maximize the time of monitoring of all targets and eliminating double sensing for the same target. Experiments were conducted using an NS3 simulator to verify our proposed technique. Results show that ASSR is capable to improve the network lifetime by 20% as compared to other recent techniques in the case of a small network while achieving an 8% improvement for the case of a large networks.
Approach to minimizing consumption of energy in wireless sensor networks IJECEIAES
The Wireless Sensor Networks (WSN) technology has benefited from a central position in the research space of future emerging networks by its diversity of applications fields and also by its optimization techniques of its various constraints, more essentially, the minimization of nodal energy consumption to increase the global network lifetime. To answer this saving energy problem, several solutions have been proposed at the protocol stack level of the WSN. In this paper, after presenting a state of the art of this technology and its conservation energy techniques at the protocol stack level, we were interested in the network layer to propose a routing solution based on a localization aspect that allows the creation of a virtual grid on the coverage area and introduces it to the two most well-known energy efficiency hierarchical routing protocols, LEACH and PEGASIS. This allowed us to minimize the energy consumption and to select the clusters heads in a deterministic way unlike LEACH which is done in a probabilistic way and also to minimize the latency in PEGASIS, by decomposing its chain into several independent chains. The simulation results, under "MATLABR2015b", have shown the efficiency of our approach in terms of overall residual energy and network lifetime.
An energy-efficient cluster head selection in wireless sensor network using g...TELKOMNIKA JOURNAL
Clustering is considered as one of the most prominent solutions to preserve theenergy in the wireless sensor networks. However, for optimal clustering, anenergy efficient cluster head selection is quite important. Improper selectionofcluster heads(CHs) consumes high energy compared to other sensor nodesdue to the transmission of data packets between the cluster members and thesink node. Thereby, it reduces the network lifetime and performance of thenetwork. In order to overcome the issues, we propose a novelcluster headselection approach usinggrey wolf optimization algorithm(GWO) namelyGWO-CH which considers the residual energy, intra-cluster and sink distance.In addition to that, we formulated an objective function and weight parametersfor anefficient cluster head selection and cluster formation. The proposedalgorithm is tested in different wireless sensor network scenarios by varyingthe number of sensor nodes and cluster heads. The observed results conveythat the proposed algorithm outperforms in terms of achieving better networkperformance compare to other algorithms.
AN OPTIMUM ENERGY CONSUMPTION HYBRID ALGORITHM FOR XLN STRATEGIC DESIGN IN WSN’SIJCNCJournal
In this paper, X-Layer protocol is originated which executes mobility error prediction (MEP) algorithm to calculate the remaining energy level of each node. This X-Layer protocol structure employs the mobility aware protocol that senses the mobility concerned to each node with the utilization of Ad-hoc On-Demand Distance Vector (AODV), which shares the information or data specific to the distance among individual nodes. With the help of this theory, the neighbour list will be updated only to those nodes which are mobile resulting in less energy consumption when compared to all (static/mobile) other nodes in the network. Apart from the MEP algorithm, clustering head (CH) election algorithm has also been specified to identify the relevant clusters whether they exists within the network region or not. Also clustering multi-hop routing (CMHR) algorithm was implemented in which the node can identify the cluster to which it belongs depending upon the distance from each cluster surrounding the node. Finally comprising the AODV routing protocol with the Two-Ray Ground method, we implement X-Layer protocol structure by considering MAC protocol in accordance to IEEE 802.15.4 to obtain the best results in energy consumption and also by reducing the energy wastage with respect to each node. The effective results had been illustrated through Network Simulator-II platform.
ON THE PERFORMANCE OF INTRUSION DETECTION SYSTEMS WITH HIDDEN MULTILAYER NEUR...IJCNCJournal
Deep learning applications, especially multilayer neural network models, result in network intrusion detection with high accuracy. This study proposes a model that combines a multilayer neural network with Dense Sparse Dense (DSD) multi-stage training to simultaneously improve the criteria related to the performance of intrusion detection systems on a comprehensive dataset UNSW-NB15. We conduct experiments on many neural network models such as Recurrent Neural Network (RNN), Long-Short Term Memory (LSTM), Gated Recurrent Unit (GRU), etc. to evaluate the combined efficiency with each model through many criteria such as accuracy, detection rate, false alarm rate, precision, and F1-Score.
AN ENHANCED HYBRID ROUTING AND CLUSTERING TECHNIQUE FOR WIRELESS SENSOR NETWORKijwmn
Wireless Sensor Networks (WSN) have extensively deployed in a wide range of applications. However, WSN still faces several limitations in processing capabilities, memory, and power supply of sensor nodes. It is required to extend the lifetime of WSN. Mainly this is achieved by routing protocols choosing the best transmission path in-network with desired power conservation.This cause is developing a generic protocol framework for WSNa big challenge. This work proposed a new routing technique, described as Hybrid Routing-Clustering (HRC) model. This new approach takes advantage of clustering and routing procedures defined in K-Mean clustering and AODV routing, which constituted of three phases. This development aims to achieve enhanced power conservation rate in consequence network lifetime. An extensive evaluation methodology utilized to measure the performance of the proposed model in simulated scenarios.The results categorized in terms of the average amount of packet received and power conservation rate. The Hybrid Routing-Clustering (HRC) model was determined, showed enhanced results regarding both parameters. In the end, they are comparing these results with well-known routing and well-known clustering algorithms.
Survey: energy efficient protocols using radio scheduling in wireless sensor ...IJECEIAES
An efficient energy management scheme is crucial factor for design and implementation of any sensor network. Almost all sensor networks are structured with numerous small sized, low cost sensor devices which are scattered over the large area. To improvise the network performance by high throughput with minimum energy consumption, an energy efficient radio scheduling MAC protocol is effective solution, since MAC layer has the capability to collaborate with distributed wireless networks. The present survey study provides relevant research work towards radio scheduling mechanism in the design of energy efficient wireless sensor networks (WSNs). The various radio scheduling protocols are exist in the literature, which has some limitations. Therefore, it is require developing a new energy efficient radio scheduling protocol to perform multi tasks with minimum energy consumption (e.g. data transmission). The most of research studies paying more attention towards to enhance the overall network lifetime with the aim of using energy efficient scheduling protocol. In that context, this survey study overviews the different categories of MAC based radio scheduling protocols and those protocols are measured by evaluating their data transmission capability, energy efficiency, and network performance. With the extensive analysis of existing works, many research challenges are stated. Also provides future directions for new WSN design at the end of this survey.
CONTEXT-AWARE ENERGY CONSERVING ROUTING ALGORITHM FOR INTERNET OF THINGSIJCNCJournal
Internet of Things (IoT) is the fast- growing technology, mostly used in smart mobile devices such as notebooks, tablets, personal digital assistants (PDA), smartphones, etc. Due to its dynamic nature and the limited battery power of the IoT enabled smart mobile nodes, the communication links between intermediate relay nodes may fail frequently, thus affecting the routing performance of the network and also the availability of the nodes. Existing algorithm does not concentrate about communication links and battery power/energy, but these node links are a very important factor for improving the quality of routing in IoT. In this paper, Context-aware Energy Conserving Algorithm for routing (CECA) was proposed which employs QoS routing metrics like Inter-Meeting Time and residual energy and has been applied to IoT enabled smart mobile devices using different technologies with different microcontroller which resulted in an increased network lifetime, throughput and reduced control overhead and the end to end delay. Simulation results show that, with respect to the speed of the mobile nodes from 2 to 10m/s, CECA increases the network lifetime, thereby increasing the average residual energy by 11.1% and increasing throughput there by reduces the average end to end delay by 14.1% over the Energy-Efficient Probabilistic Routing (EEPR) algorithm. With respect to the number of nodes increases from 10 to 100 nodes, CECA algorithms increase the average residual energy by16.1 % reduces the average end to end delay by 15.9% and control overhead by 23.7% over the existing EEPR
Design and implementation of grid based clustering in WSN using dynamic sink ...journalBEEI
A wireless sensor networks (WSNs) play a significant application, especially in the monitored remoting environmental, which enables by the availability of sensors which are cheaper, smaller, and intelligent. The equipment of such sensors be with wireless interfaces, which a communication with other sensors occurs for creating a network, that contains many distributed nodes. The closest nodes to the sink are exploited at an enormous traffic load while the data from the whole regions are forwarded between them to reach the sink. This result in exhausting their energy quickly and partitioning the network. This is solved by changing the sink node position in Grid based clustering technique, which considers the optimal method for this purpose. A simulation with MATLAB can be applied for grid based clustering technique to evaluate the performance of WSN. The expected results deal with outperforms in throughput, reducing energy consumption and increasing residual energy, in addition to prolong the network lifetime of the sensor network.
ITA: The Improved Throttled Algorithm of Load Balancing on Cloud ComputingIJCNCJournal
Cloud computing makes the information technology industry boom. It is a great solution for businesses who want to save costs while ensuring the quality of service. One of the key issues that make cloud computing successful is the load balancing technique used in the load balancer to minimize time costs and optimize costs economically. This paper proposes an algorithm to enhance the processing time of tasks so that it can help improve the load balancing capacity on cloud computing. This algorithm, named as Improved Throttled Algorithm (ITA), is an improvement of Throttled Algorithm. The paper uses the Cloud Analyst tool to simulate. The selected algorithms are used to compare: Equally Load, Round Robin, Throttled and TMA. The simulation results show that the proposed algorithm ITA has improved the processing time of tasks, time spent processing requests and reduced the cost of Datacenters compared to the selected popular algorithms as above. The improvement of ITA is because of selecting virtual machines in an index table that is available but in order of priority. It helps response times and processing times remain stable, limits the idling resources, and cloud costs are minimized compared to selected algorithms.
An Ant colony optimization algorithm to solve the broken link problem in wire...IJERA Editor
Aco is a well –known metahuristic in which a colony of artificial ants cooperates in explain Good solution to a combinational optimization problem. Wireless sensor consisting of nodes with limited power is deployed to gather useful information From the field. In wireless sensor network it is critical to collect the information in an energy efficient Manner.ant colony optimization, a swarm intelligence based optimization technique, is widely used In network routing. A novel routing approach using an ant colony optimization algorithm is proposed for wireless sensor Network consisting of stable nodes illustrative example details description and cooperative performance test result the proposed approach are included. The approach is also implementing to a small sized hardware component as a router chip simulation result show that proposed algorithm Provides promising solution allowing node designers to efficiency operate routing tasks.
Rectangular and circular antennas design for Bluetooth applicationsTELKOMNIKA JOURNAL
The most researched and examined aspect of the communication system is the wireless connection. Without learning how to operate and use different types of antennas, your knowledge is incomplete. Microstrip patch antenna research has advanced significantly in recent years. When compared to standard antennas, microstrip patch antennas provide additional advantages and opportunities. It is of low volume, light weight, low cost, low appearance, compact and easy to manufacture. This study investigates the differences between rectangular and circular patch antennas. For Bluetooth applications, the center frequency of 2.4 GHz was chosen as the optimal resonant frequency. On a flame retardant (FR-4) epoxy substrate, the antenna dielectric constant is 4.4. Above the ground the base rises 3.6 mm. For the simulation process, high frequency simulation software (HFSS 15) is used as the program design. Antennas 1×1, 1×2, and 1×4 are designed for both circular and rectangular antennas. A comparison was made for both types of antennas and voltage standing wave ratio (VSWR), return losses, gain, directivity and half power beam width (HPBW) were found, and the feature of the rectangular antenna was shown.
Repeated Plus Shape Slot Fractal Antenna For WiMAX/WLAN Applicationijsrd.com
This paper describes a repeated plus shaped slot fractal antenna .This antenna show multiband behavior due to self similarity in their structure. Proposed Antenna achieves wide bandwidth ranging from 2.20 GHz to 3.51 GHz. This antenna utilized dielectric substrate which has dielectric constant 4.4 and thickness 1.6mm. Proposed antenna show percentages bandwidth 45 and it offer gain 3.05dBi, directivity 3.32dBi and antenna efficiency 93.98% at resonant frequency 2.41 GHz. So this plus shape slot fractal antenna shows various applications for WiMAX/WLAN.
A four-element UWB MIMO antenna using SRRs for application in satellite commu...IJECEIAES
This paper proposes a method for designing a new ultra wide band (UWB) multiple-input multiple-output (MIMO) antenna with two and four elements. First we presented an ultra-wide band antenna we studied these performances. Then, we studied the application of metamaterials to the design of MIMO antennas for miniaturization and the performance of antennas, in order to guarantee the proper functioning of the MIMO system with a much reduced separation distance between the radiating elements (λ/12), where the coupling can be very weak. The application of these circular double ring SRRs materials on the front plan of the antenna has contributed to the increasing of the antenna performance is studied in terms of S-Parameters, efficiency, diversity gain (DG), radiation properties and envelop correlation coefficient (ECC). It offers advantages such as the reduction of weight and congestion that is beneficial for their integration into satellite communications systems.
Design of Miniaturized Multiband Patch Antenna Using CSRR for WLAN/WiMAX Appl...TELKOMNIKA JOURNAL
A novel miniaturized multiband, single-feed microstrip patch antenna is presented in this paper for
WLAN and WiMAX applications. Both size reduction and multiband are obtained by etching the Multiple
Complementary Split Ring Resonators (MC-SRR) on the ground plane of the normal patch antenna. At
first, the normal patch antenna produces a single band of 5.15 GHz; 200 MHz (5.0500~5.2499).
Subsequently, a Single Circular Split Ring Resonator (SC-SRR) is etched on the ground plane and
produces a triple band of: 3.25 GHz; 288 MHz (3.1085~3.3964), 4.5 GHz; 101.3 MHz (4.4488~4.5501),
and 5.22 GHz; 220 MHz (5.1191~5.3400) and Double Single Circular Split Ring Resonator (DC-MCSRR)
with: 2.99 GHz; 60.7 MHz (2.9574~3.0181), 3.57 GHz; 324.7 MHz (3.4065~3.7312), and 5.1413 GHz;
115.4 MHz (5.0817~5.1971). The working bandwidths cover the desired frequency bands of WLAN
5.2 GHz and WiMAX 3.3/3.5 GHz. The proposed (MC-SRR) antenna can be employed to wireless
communication systems due to its simplicity in design, compactness and miniaturization.
DESIGN OF A COMPACT CIRCULAR MICROSTRIP PATCH ANTENNA FOR WLAN APPLICATIONSpijans
This paper presents the design of a compact circular microstrip patch antenna for WLAN applications
which covers the band 5.15 to 5.825 GHz. The antenna is designed using 1.4mm thick FR-4
(lossy)substrate with relative permittivity 4.4 and a microstrip line feed is used. The radius of the
circular patch is chosen as 7.62mm. To reduce the size and enhance the performance of the proposed
antenna, a circular slot is loaded on circular patch and a square slot is etched on the ground plane of
dimension 30mm×30mm. Design of the antenna is carried out using CST Microsoft Studio Sonimulation
Software. The proposed antenna resonates at 5.5 GHz with a wider bandwidth of 702 MHz and it provides
low return loss of -31.58 dB, good gain of 3.23 dB and directivity of 4.28 dBi and high efficiency of around
79% against the resonance frequency. The geometry of the proposed circular antenna with reduced size
and its various performance parameters such as return loss, bandwidth, VSWR, gain, directivity, efficiency
and radiation pattern plots are presented and discussed.
DESIGN OF A COMPACT CIRCULAR MICROSTRIP PATCH ANTENNA FOR WLAN APPLICATIONSpijans
This paper presents the design of a compact circular microstrip patch antenna for WLAN applications
which covers the band 5.15 to 5.825 GHz. The antenna is designed using 1.4mm thick FR-4
(lossy)substrate with relative permittivity 4.4 and a microstrip line feed is used. The radius of the
circular patch is chosen as 7.62mm. To reduce the size and enhance the performance of the proposed
antenna, a circular slot is loaded on circular patch and a square slot is etched on the ground plane of
dimension 30mm×30mm. Design of the antenna is carried out using CST Microsoft Studio Sonimulation
Software. The proposed antenna resonates at 5.5 GHz with a wider bandwidth of 702 MHz and it provides
low return loss of -31.58 dB, good gain of 3.23 dB and directivity of 4.28 dBi and high efficiency of around
79% against the resonance frequency. The geometry of the proposed circular antenna with reduced size
and its various performance parameters such as return loss, bandwidth, VSWR, gain, directivity, efficiency
and radiation pattern plots are presented and discussed
DESIGN OF A COMPACT CIRCULAR MICROSTRIP PATCH ANTENNA FOR WLAN APPLICATIONS pijans
This paper presents the design of a compact circular microstrip patch antenna for WLAN applications which covers the band 5.15 to 5.825 GHz. The antenna is designed using 1.4mm thick FR-4 (lossy)substrate with relative permittivity 4.4 and a microstrip line feed is used. The radius of the circular patch is chosen as 7.62mm. To reduce the size and enhance the performance of the proposed antenna, a circular slot is loaded on circular patch and a square slot is etched on the ground plane of dimension 30mm×30mm. Design of the antenna is carried out using CST Microsoft Studio Sonimulation Software. The proposed antenna resonates at 5.5 GHz with a wider bandwidth of 702 MHz and it provides low return loss of -31.58 dB, good gain of 3.23 dB and directivity of 4.28 dBi and high efficiency of around 79% against the resonance frequency. The geometry of the proposed circular antenna with reduced size and its various performance parameters such as return loss, bandwidth, VSWR, gain, directivity, efficiency and radiation pattern plots are presented and discussed.
A wideband deltoid leaf fractal antenna is proposed for 5.8 GHz commonly used in industrial scientific and medical (ISM) and wireless local area networks (WLAN) applications. A microstrip patch antennas is designed with leaf shape radiating element. Using a leaf shape, it is possible to increase the perimeter of a design and thus reduce the overall dimensions of the antenna. A circular ring slot is made on the leaf shaped radiator, in a way that a circular disc is loaded at centre. Triangular fractal slots are made inside the circular disc to make it miniaturized. A partial ground is maintained with slot at centre. The antenna is fed by micro-strip feed. The locality and measurements of the fractal slots are varied to make the antenna radiate at 5.8 GHz with wider bandwidth (BW) of (2.26 GHz). The complete size of the antenna is 40 mm3 × 40 mm3 × 1.6 mm3. The step-by-step implementation of the antenna and the effects of its dimensions are compared and presented using the reflection coefficient curve. The measured reflections coefficient |S11|<-10 dB maintained the operational band from (5.36 GHz 7.62 GHz), with gain 4.2 dBi. The proposed antenna is planned and simulated using high frequency structure simulator (HFSS). The simulated and measured comparison showed good agreement, the designed antenna is suitable for 5.8 GHz WLAN applications with wider bandwidth requirements.
TRI-BAND MICROSTRIP PATCH ANTENNA FOR S-BAND NANO SATELLITE APPLICATION USING...ijsrd.com
It's the generation of tiny satellites which basically needs all its components to be miniature. The product proposed here is one such component, a tri band micro strip patch antenna operating at 2.6GHz, 3.6GHz S-band frequencies and 5.8 GHz. This real-time project work deals with a rectangular patch antenna operating at different frequencies working for various applications. The proposed S-Band Patch antenna is being designed and simulated using HFSS software. Obtaining optimum bandwidth efficiency by choosing suitable size without affecting any other parameters of the antenna is the challenge taken over in this project. The low profile, less weight patch antenna has antenna element of physical dimension 40x40x2.6mm .The substrate material being used is Alumina with dielectric constant 9.6. This antenna is designed to be used for TTC and payload downlink purposes. The designed patch array antenna meets all the parametric needs for a Polar orbiting satellite at Low Earth Orbit (LEO) region.
Design of wide band slotted microstrip patch antenna with defective ground st...IJECEIAES
This paper proposes a microstrip patch antenna (MSPA) in the Ku band for satellite applications. The antenna is small in size with dimensions of about 40 mm×48 mm×1.59 mm and is fed with a coaxial cable of 50 Ω impedance. The proposed antenna has a wide bandwidth of 3.03 GHz ranging from 12.8 GHz to 15.8 GHz. To realize the characteristics of wideband the techniques of defective ground structure (DGS) and etching slots on the radiating element are adopted. The antenna is modeled on the FR4 substrate. A basic circular patch is selected for the design of a dual-frequency operation and in the next step DGS is introduced into the basic antenna and enhanced bandwidth is achieved at both the frequencies. To attain wider bandwidth two slots are etched on the radiating element of which one is a square ring slot and the second one is a circular ring slot. The novelty of the proposed antenna is a miniaturized design and unique response within the Ku band region which is applicable for wireless UWB applications with VSWR <2 and an average gain of 3.6 dB.
REVIEW OF FRACTAL TECHNIQUES FOR DESIGNING MICROSTRIP PATCH ANTENNA FOR X BANDIJEEE
This paper on fractal techniques for designing microstrip antenna exhibits details of fractal geometries developed to get multiband behavior of patch resonator antenna. In this paper the review on various techniques of compactness by fractal geometry on microstrip patch antenna for X band used for satellite communication and radar application are presented.
A Compact Wideband Monopole Antenna using Single Open Loop Resonator for Wire...TELKOMNIKA JOURNAL
A novel single layer, microstrip line fed compact wideband monopole antenna using open loop resonator has been designed and analyzed. The proposed antenna occupies a compact size of only 30 36.5 1.6 mm3. A partial ground plane is employed to enhance the operating bandwidth and reflection coefficient of the proposed antenna. The variations in operating bandwidth of the proposed antenna can be easily controlled by properly adjusting the position of the gap in the open loop resonator.The antenna prototype is fabricated on FR4 substrate with a dielectric constant 4.2. In this design, the antenna exhibits 10dB wide impedance bandwidth of 61% from 2.0174 to 3.7903 GHz.The antenna can be easily fed using a 50 Ω microstrip feed line and it covers the bandwidth requirements of a number of modern wireless communication systems such as IEEE 502.11b WLAN band (2.4 2.5 GHz), extended UMTS (2.5 2.69 GHz), IMT (2.7 2.9 GHz), and IEEE 802.16 Wi MAX band (3.3 3.6 GHz) applications. The desired antenna is designed and simulated using Computer Simulation Technology (CST). An extensive analysis of the antenna parameters (reflection coefficient, radiation pattern, directivity, and VSWR) including surface current distributions is presented and discussed in this paper. Good agreement between simulated and measured result is obtained.
Antenna is the most important part of wireless communication. The recent growth in this industry makes the antenna more advanced and reliable. In various fields we need the use of highly characteristics antennas and these characteristics are based upon some parameters like bandwidth, gain, directivity etc. As compared to other antennas microstrip antenna can make possible to achieve the required characteristics for efficient communication because they are easily to fabricate and reduces the cost also. To make the microstrip antenna more advanced it use defected ground structure (DGS). The DGS structures are introduce to improve the performance of planar array antenna in terms of return loss, gain, directivity and voltage standing wave ratio. The goal of this paper is to understand the mathematical terms of antenna and feeding techniques so that it possible to know how to make the Microstrip antenna with DGS as more highly characterized antenna.
In this paper, a novel multi-frequency microstrip antenna with complementary ring slot resonator (CRSR) structure that satisfies Bluetooth, worldwide interoperability for microwave access (WiMAX), and wireless local area network (WLAN) applications is proposed. The conventional antenna consists of a circular microstrip patch at a resonance frequency band of 2.5 GHz. By loading two CRSR at the radiating element, three operating frequency bands 2.5 GHz, 3.6 GHz, and 5.2 GHz are achieved. The operational bands covered by the antenna are Bluetooth 2.5 GHz, WiMAX 3.6 GHz, and WLAN 5.2 GHz. The insertion of CRSR to patch antenna has made it possible to compact and simple design, and miniaturized antenna for cognitive radio. Moreover, the directivity of the proposed antenna is adequate with acceptable radiation properties and perfectly matches with the simulated and measured results.
Design Study of a Miniaturized Multi-layered Antenna-in-package for 2.4 GHZ ...IJECEIAES
This paper proposes a novel miniaturization technique to enhance the radiation properties of small multi-layer patch antenna used in packaged circuits. The multilayered antenna design is composed of three layers with different shapes. An enhancement on the radiation properties has been obtained by optimizing the geometry of the radiated element and the parasitic conductor of the middle layer. The whole design has been implemented on the FR4 substrate with dielectric constant of 4.4, thickness of 1.6 mm and Copper thickness of 5 m. The first layer is a driven element while second and the third layer are parasitic patch elements. The optimized multilayer antenna has a very small size of . Considering the small size of the antenna, a detailed study of the parameter affecting the radiation has been considered to force the antenna to operate at 2.4 GHz band. Miniaturization techniques based on the current distribution have been also taken into account to shift down the resonant frequency and reduces more and more the antenna size at the designed operating frequency. The miniaturized antenna maintains performant radiation characteristics in terms of reflexion coefficient, bandwidth and directivity. All developed antennas are simulated using the commercial Electromagnetic CST Microwave Studio software. Achieved results demonstrate a good performance with low cost and compact size
Efficient Design of Sierpinski Fractal Antenna for High Frequency ApplicationsIJERA Editor
A wideband published slot antenna appropriate for wireless code division multiple access (WCDMA) and
sustaining the international interoperability for microwave access (WiMAX) applications is planned here. The
antenna is fractal line fed and its construction is based on fractal geometry where the resonance frequency of
antenna is dropped by applying iteration methods. Fractal antennas are the most suited for aerospace and UWB
applications because of their low profile, light weight and low power handling capacity. They can be designed in
a variety of shapes in order to obtain enhanced gain and bandwidth, dual band and circular polarization to even
ultra-wideband operation. For the simulation process ANSOFT HFSS (high frequency structure simulator) has
been used. The effect of antenna dimensions and substrate parameters on the performance of antenna have been
discussed. The antenna has been designed using the Arlon substrate with relative permittivity of 1.3 and a
substrate of Sierpinski Carpet shaped placed on it. Feed used is the fractal line feed. The designed antenna is a
low profile, small size and multiband antenna since it can be operated at different frequencies within the
frequency range of 4.3GHz to 11GHz. It includes the frequencies used for wireless WCDMA application and
used to receive and transmit a high-frequency signal.
Bibliometric analysis highlighting the role of women in addressing climate ch...IJECEIAES
Fossil fuel consumption increased quickly, contributing to climate change
that is evident in unusual flooding and draughts, and global warming. Over
the past ten years, women's involvement in society has grown dramatically,
and they succeeded in playing a noticeable role in reducing climate change.
A bibliometric analysis of data from the last ten years has been carried out to
examine the role of women in addressing the climate change. The analysis's
findings discussed the relevant to the sustainable development goals (SDGs),
particularly SDG 7 and SDG 13. The results considered contributions made
by women in the various sectors while taking geographic dispersion into
account. The bibliometric analysis delves into topics including women's
leadership in environmental groups, their involvement in policymaking, their
contributions to sustainable development projects, and the influence of
gender diversity on attempts to mitigate climate change. This study's results
highlight how women have influenced policies and actions related to climate
change, point out areas of research deficiency and recommendations on how
to increase role of the women in addressing the climate change and
achieving sustainability. To achieve more successful results, this initiative
aims to highlight the significance of gender equality and encourage
inclusivity in climate change decision-making processes.
Voltage and frequency control of microgrid in presence of micro-turbine inter...IJECEIAES
The active and reactive load changes have a significant impact on voltage
and frequency. In this paper, in order to stabilize the microgrid (MG) against
load variations in islanding mode, the active and reactive power of all
distributed generators (DGs), including energy storage (battery), diesel
generator, and micro-turbine, are controlled. The micro-turbine generator is
connected to MG through a three-phase to three-phase matrix converter, and
the droop control method is applied for controlling the voltage and
frequency of MG. In addition, a method is introduced for voltage and
frequency control of micro-turbines in the transition state from gridconnected mode to islanding mode. A novel switching strategy of the matrix
converter is used for converting the high-frequency output voltage of the
micro-turbine to the grid-side frequency of the utility system. Moreover,
using the switching strategy, the low-order harmonics in the output current
and voltage are not produced, and consequently, the size of the output filter
would be reduced. In fact, the suggested control strategy is load-independent
and has no frequency conversion restrictions. The proposed approach for
voltage and frequency regulation demonstrates exceptional performance and
favorable response across various load alteration scenarios. The suggested
strategy is examined in several scenarios in the MG test systems, and the
simulation results are addressed.
Enhancing battery system identification: nonlinear autoregressive modeling fo...IJECEIAES
Precisely characterizing Li-ion batteries is essential for optimizing their
performance, enhancing safety, and prolonging their lifespan across various
applications, such as electric vehicles and renewable energy systems. This
article introduces an innovative nonlinear methodology for system
identification of a Li-ion battery, employing a nonlinear autoregressive with
exogenous inputs (NARX) model. The proposed approach integrates the
benefits of nonlinear modeling with the adaptability of the NARX structure,
facilitating a more comprehensive representation of the intricate
electrochemical processes within the battery. Experimental data collected
from a Li-ion battery operating under diverse scenarios are employed to
validate the effectiveness of the proposed methodology. The identified
NARX model exhibits superior accuracy in predicting the battery's behavior
compared to traditional linear models. This study underscores the
importance of accounting for nonlinearities in battery modeling, providing
insights into the intricate relationships between state-of-charge, voltage, and
current under dynamic conditions.
Smart grid deployment: from a bibliometric analysis to a surveyIJECEIAES
Smart grids are one of the last decades' innovations in electrical energy.
They bring relevant advantages compared to the traditional grid and
significant interest from the research community. Assessing the field's
evolution is essential to propose guidelines for facing new and future smart
grid challenges. In addition, knowing the main technologies involved in the
deployment of smart grids (SGs) is important to highlight possible
shortcomings that can be mitigated by developing new tools. This paper
contributes to the research trends mentioned above by focusing on two
objectives. First, a bibliometric analysis is presented to give an overview of
the current research level about smart grid deployment. Second, a survey of
the main technological approaches used for smart grid implementation and
their contributions are highlighted. To that effect, we searched the Web of
Science (WoS), and the Scopus databases. We obtained 5,663 documents
from WoS and 7,215 from Scopus on smart grid implementation or
deployment. With the extraction limitation in the Scopus database, 5,872 of
the 7,215 documents were extracted using a multi-step process. These two
datasets have been analyzed using a bibliometric tool called bibliometrix.
The main outputs are presented with some recommendations for future
research.
Use of analytical hierarchy process for selecting and prioritizing islanding ...IJECEIAES
One of the problems that are associated to power systems is islanding
condition, which must be rapidly and properly detected to prevent any
negative consequences on the system's protection, stability, and security.
This paper offers a thorough overview of several islanding detection
strategies, which are divided into two categories: classic approaches,
including local and remote approaches, and modern techniques, including
techniques based on signal processing and computational intelligence.
Additionally, each approach is compared and assessed based on several
factors, including implementation costs, non-detected zones, declining
power quality, and response times using the analytical hierarchy process
(AHP). The multi-criteria decision-making analysis shows that the overall
weight of passive methods (24.7%), active methods (7.8%), hybrid methods
(5.6%), remote methods (14.5%), signal processing-based methods (26.6%),
and computational intelligent-based methods (20.8%) based on the
comparison of all criteria together. Thus, it can be seen from the total weight
that hybrid approaches are the least suitable to be chosen, while signal
processing-based methods are the most appropriate islanding detection
method to be selected and implemented in power system with respect to the
aforementioned factors. Using Expert Choice software, the proposed
hierarchy model is studied and examined.
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...IJECEIAES
The power generated by photovoltaic (PV) systems is influenced by
environmental factors. This variability hampers the control and utilization of
solar cells' peak output. In this study, a single-stage grid-connected PV
system is designed to enhance power quality. Our approach employs fuzzy
logic in the direct power control (DPC) of a three-phase voltage source
inverter (VSI), enabling seamless integration of the PV connected to the
grid. Additionally, a fuzzy logic-based maximum power point tracking
(MPPT) controller is adopted, which outperforms traditional methods like
incremental conductance (INC) in enhancing solar cell efficiency and
minimizing the response time. Moreover, the inverter's real-time active and
reactive power is directly managed to achieve a unity power factor (UPF).
The system's performance is assessed through MATLAB/Simulink
implementation, showing marked improvement over conventional methods,
particularly in steady-state and varying weather conditions. For solar
irradiances of 500 and 1,000 W/m2
, the results show that the proposed
method reduces the total harmonic distortion (THD) of the injected current
to the grid by approximately 46% and 38% compared to conventional
methods, respectively. Furthermore, we compare the simulation results with
IEEE standards to evaluate the system's grid compatibility.
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...IJECEIAES
Photovoltaic systems have emerged as a promising energy resource that
caters to the future needs of society, owing to their renewable, inexhaustible,
and cost-free nature. The power output of these systems relies on solar cell
radiation and temperature. In order to mitigate the dependence on
atmospheric conditions and enhance power tracking, a conventional
approach has been improved by integrating various methods. To optimize
the generation of electricity from solar systems, the maximum power point
tracking (MPPT) technique is employed. To overcome limitations such as
steady-state voltage oscillations and improve transient response, two
traditional MPPT methods, namely fuzzy logic controller (FLC) and perturb
and observe (P&O), have been modified. This research paper aims to
simulate and validate the step size of the proposed modified P&O and FLC
techniques within the MPPT algorithm using MATLAB/Simulink for
efficient power tracking in photovoltaic systems.
Adaptive synchronous sliding control for a robot manipulator based on neural ...IJECEIAES
Robot manipulators have become important equipment in production lines, medical fields, and transportation. Improving the quality of trajectory tracking for
robot hands is always an attractive topic in the research community. This is a
challenging problem because robot manipulators are complex nonlinear systems
and are often subject to fluctuations in loads and external disturbances. This
article proposes an adaptive synchronous sliding control scheme to improve trajectory tracking performance for a robot manipulator. The proposed controller
ensures that the positions of the joints track the desired trajectory, synchronize
the errors, and significantly reduces chattering. First, the synchronous tracking
errors and synchronous sliding surfaces are presented. Second, the synchronous
tracking error dynamics are determined. Third, a robust adaptive control law is
designed,the unknown components of the model are estimated online by the neural network, and the parameters of the switching elements are selected by fuzzy
logic. The built algorithm ensures that the tracking and approximation errors
are ultimately uniformly bounded (UUB). Finally, the effectiveness of the constructed algorithm is demonstrated through simulation and experimental results.
Simulation and experimental results show that the proposed controller is effective with small synchronous tracking errors, and the chattering phenomenon is
significantly reduced.
Remote field-programmable gate array laboratory for signal acquisition and de...IJECEIAES
A remote laboratory utilizing field-programmable gate array (FPGA) technologies enhances students’ learning experience anywhere and anytime in embedded system design. Existing remote laboratories prioritize hardware access and visual feedback for observing board behavior after programming, neglecting comprehensive debugging tools to resolve errors that require internal signal acquisition. This paper proposes a novel remote embeddedsystem design approach targeting FPGA technologies that are fully interactive via a web-based platform. Our solution provides FPGA board access and debugging capabilities beyond the visual feedback provided by existing remote laboratories. We implemented a lab module that allows users to seamlessly incorporate into their FPGA design. The module minimizes hardware resource utilization while enabling the acquisition of a large number of data samples from the signal during the experiments by adaptively compressing the signal prior to data transmission. The results demonstrate an average compression ratio of 2.90 across three benchmark signals, indicating efficient signal acquisition and effective debugging and analysis. This method allows users to acquire more data samples than conventional methods. The proposed lab allows students to remotely test and debug their designs, bridging the gap between theory and practice in embedded system design.
Detecting and resolving feature envy through automated machine learning and m...IJECEIAES
Efficiently identifying and resolving code smells enhances software project quality. This paper presents a novel solution, utilizing automated machine learning (AutoML) techniques, to detect code smells and apply move method refactoring. By evaluating code metrics before and after refactoring, we assessed its impact on coupling, complexity, and cohesion. Key contributions of this research include a unique dataset for code smell classification and the development of models using AutoGluon for optimal performance. Furthermore, the study identifies the top 20 influential features in classifying feature envy, a well-known code smell, stemming from excessive reliance on external classes. We also explored how move method refactoring addresses feature envy, revealing reduced coupling and complexity, and improved cohesion, ultimately enhancing code quality. In summary, this research offers an empirical, data-driven approach, integrating AutoML and move method refactoring to optimize software project quality. Insights gained shed light on the benefits of refactoring on code quality and the significance of specific features in detecting feature envy. Future research can expand to explore additional refactoring techniques and a broader range of code metrics, advancing software engineering practices and standards.
Smart monitoring technique for solar cell systems using internet of things ba...IJECEIAES
Rapidly and remotely monitoring and receiving the solar cell systems status parameters, solar irradiance, temperature, and humidity, are critical issues in enhancement their efficiency. Hence, in the present article an improved smart prototype of internet of things (IoT) technique based on embedded system through NodeMCU ESP8266 (ESP-12E) was carried out experimentally. Three different regions at Egypt; Luxor, Cairo, and El-Beheira cities were chosen to study their solar irradiance profile, temperature, and humidity by the proposed IoT system. The monitoring data of solar irradiance, temperature, and humidity were live visualized directly by Ubidots through hypertext transfer protocol (HTTP) protocol. The measured solar power radiation in Luxor, Cairo, and El-Beheira ranged between 216-1000, 245-958, and 187-692 W/m 2 respectively during the solar day. The accuracy and rapidity of obtaining monitoring results using the proposed IoT system made it a strong candidate for application in monitoring solar cell systems. On the other hand, the obtained solar power radiation results of the three considered regions strongly candidate Luxor and Cairo as suitable places to build up a solar cells system station rather than El-Beheira.
An efficient security framework for intrusion detection and prevention in int...IJECEIAES
Over the past few years, the internet of things (IoT) has advanced to connect billions of smart devices to improve quality of life. However, anomalies or malicious intrusions pose several security loopholes, leading to performance degradation and threat to data security in IoT operations. Thereby, IoT security systems must keep an eye on and restrict unwanted events from occurring in the IoT network. Recently, various technical solutions based on machine learning (ML) models have been derived towards identifying and restricting unwanted events in IoT. However, most ML-based approaches are prone to miss-classification due to inappropriate feature selection. Additionally, most ML approaches applied to intrusion detection and prevention consider supervised learning, which requires a large amount of labeled data to be trained. Consequently, such complex datasets are impossible to source in a large network like IoT. To address this problem, this proposed study introduces an efficient learning mechanism to strengthen the IoT security aspects. The proposed algorithm incorporates supervised and unsupervised approaches to improve the learning models for intrusion detection and mitigation. Compared with the related works, the experimental outcome shows that the model performs well in a benchmark dataset. It accomplishes an improved detection accuracy of approximately 99.21%.
Developing a smart system for infant incubators using the internet of things ...IJECEIAES
This research is developing an incubator system that integrates the internet of things and artificial intelligence to improve care for premature babies. The system workflow starts with sensors that collect data from the incubator. Then, the data is sent in real-time to the internet of things (IoT) broker eclipse mosquito using the message queue telemetry transport (MQTT) protocol version 5.0. After that, the data is stored in a database for analysis using the long short-term memory network (LSTM) method and displayed in a web application using an application programming interface (API) service. Furthermore, the experimental results produce as many as 2,880 rows of data stored in the database. The correlation coefficient between the target attribute and other attributes ranges from 0.23 to 0.48. Next, several experiments were conducted to evaluate the model-predicted value on the test data. The best results are obtained using a two-layer LSTM configuration model, each with 60 neurons and a lookback setting 6. This model produces an R 2 value of 0.934, with a root mean square error (RMSE) value of 0.015 and a mean absolute error (MAE) of 0.008. In addition, the R 2 value was also evaluated for each attribute used as input, with a result of values between 0.590 and 0.845.
A review on internet of things-based stingless bee's honey production with im...IJECEIAES
Honey is produced exclusively by honeybees and stingless bees which both are well adapted to tropical and subtropical regions such as Malaysia. Stingless bees are known for producing small amounts of honey and are known for having a unique flavor profile. Problem identified that many stingless bees collapsed due to weather, temperature and environment. It is critical to understand the relationship between the production of stingless bee honey and environmental conditions to improve honey production. Thus, this paper presents a review on stingless bee's honey production and prediction modeling. About 54 previous research has been analyzed and compared in identifying the research gaps. A framework on modeling the prediction of stingless bee honey is derived. The result presents the comparison and analysis on the internet of things (IoT) monitoring systems, honey production estimation, convolution neural networks (CNNs), and automatic identification methods on bee species. It is identified based on image detection method the top best three efficiency presents CNN is at 98.67%, densely connected convolutional networks with YOLO v3 is 97.7%, and DenseNet201 convolutional networks 99.81%. This study is significant to assist the researcher in developing a model for predicting stingless honey produced by bee's output, which is important for a stable economy and food security.
A trust based secure access control using authentication mechanism for intero...IJECEIAES
The internet of things (IoT) is a revolutionary innovation in many aspects of our society including interactions, financial activity, and global security such as the military and battlefield internet. Due to the limited energy and processing capacity of network devices, security, energy consumption, compatibility, and device heterogeneity are the long-term IoT problems. As a result, energy and security are critical for data transmission across edge and IoT networks. Existing IoT interoperability techniques need more computation time, have unreliable authentication mechanisms that break easily, lose data easily, and have low confidentiality. In this paper, a key agreement protocol-based authentication mechanism for IoT devices is offered as a solution to this issue. This system makes use of information exchange, which must be secured to prevent access by unauthorized users. Using a compact contiki/cooja simulator, the performance and design of the suggested framework are validated. The simulation findings are evaluated based on detection of malicious nodes after 60 minutes of simulation. The suggested trust method, which is based on privacy access control, reduced packet loss ratio to 0.32%, consumed 0.39% power, and had the greatest average residual energy of 0.99 mJoules at 10 nodes.
Fuzzy linear programming with the intuitionistic polygonal fuzzy numbersIJECEIAES
In real world applications, data are subject to ambiguity due to several factors; fuzzy sets and fuzzy numbers propose a great tool to model such ambiguity. In case of hesitation, the complement of a membership value in fuzzy numbers can be different from the non-membership value, in which case we can model using intuitionistic fuzzy numbers as they provide flexibility by defining both a membership and a non-membership functions. In this article, we consider the intuitionistic fuzzy linear programming problem with intuitionistic polygonal fuzzy numbers, which is a generalization of the previous polygonal fuzzy numbers found in the literature. We present a modification of the simplex method that can be used to solve any general intuitionistic fuzzy linear programming problem after approximating the problem by an intuitionistic polygonal fuzzy number with n edges. This method is given in a simple tableau formulation, and then applied on numerical examples for clarity.
The performance of artificial intelligence in prostate magnetic resonance im...IJECEIAES
Prostate cancer is the predominant form of cancer observed in men worldwide. The application of magnetic resonance imaging (MRI) as a guidance tool for conducting biopsies has been established as a reliable and well-established approach in the diagnosis of prostate cancer. The diagnostic performance of MRI-guided prostate cancer diagnosis exhibits significant heterogeneity due to the intricate and multi-step nature of the diagnostic pathway. The development of artificial intelligence (AI) models, specifically through the utilization of machine learning techniques such as deep learning, is assuming an increasingly significant role in the field of radiology. In the realm of prostate MRI, a considerable body of literature has been dedicated to the development of various AI algorithms. These algorithms have been specifically designed for tasks such as prostate segmentation, lesion identification, and classification. The overarching objective of these endeavors is to enhance diagnostic performance and foster greater agreement among different observers within MRI scans for the prostate. This review article aims to provide a concise overview of the application of AI in the field of radiology, with a specific focus on its utilization in prostate MRI.
Seizure stage detection of epileptic seizure using convolutional neural networksIJECEIAES
According to the World Health Organization (WHO), seventy million individuals worldwide suffer from epilepsy, a neurological disorder. While electroencephalography (EEG) is crucial for diagnosing epilepsy and monitoring the brain activity of epilepsy patients, it requires a specialist to examine all EEG recordings to find epileptic behavior. This procedure needs an experienced doctor, and a precise epilepsy diagnosis is crucial for appropriate treatment. To identify epileptic seizures, this study employed a convolutional neural network (CNN) based on raw scalp EEG signals to discriminate between preictal, ictal, postictal, and interictal segments. The possibility of these characteristics is explored by examining how well timedomain signals work in the detection of epileptic signals using intracranial Freiburg Hospital (FH), scalp Children's Hospital Boston-Massachusetts Institute of Technology (CHB-MIT) databases, and Temple University Hospital (TUH) EEG. To test the viability of this approach, two types of experiments were carried out. Firstly, binary class classification (preictal, ictal, postictal each versus interictal) and four-class classification (interictal versus preictal versus ictal versus postictal). The average accuracy for stage detection using CHB-MIT database was 84.4%, while the Freiburg database's time-domain signals had an accuracy of 79.7% and the highest accuracy of 94.02% for classification in the TUH EEG database when comparing interictal stage to preictal stage.
Analysis of driving style using self-organizing maps to analyze driver behaviorIJECEIAES
Modern life is strongly associated with the use of cars, but the increase in acceleration speeds and their maneuverability leads to a dangerous driving style for some drivers. In these conditions, the development of a method that allows you to track the behavior of the driver is relevant. The article provides an overview of existing methods and models for assessing the functioning of motor vehicles and driver behavior. Based on this, a combined algorithm for recognizing driving style is proposed. To do this, a set of input data was formed, including 20 descriptive features: About the environment, the driver's behavior and the characteristics of the functioning of the car, collected using OBD II. The generated data set is sent to the Kohonen network, where clustering is performed according to driving style and degree of danger. Getting the driving characteristics into a particular cluster allows you to switch to the private indicators of an individual driver and considering individual driving characteristics. The application of the method allows you to identify potentially dangerous driving styles that can prevent accidents.
Hyperspectral object classification using hybrid spectral-spatial fusion and ...IJECEIAES
Because of its spectral-spatial and temporal resolution of greater areas, hyperspectral imaging (HSI) has found widespread application in the field of object classification. The HSI is typically used to accurately determine an object's physical characteristics as well as to locate related objects with appropriate spectral fingerprints. As a result, the HSI has been extensively applied to object identification in several fields, including surveillance, agricultural monitoring, environmental research, and precision agriculture. However, because of their enormous size, objects require a lot of time to classify; for this reason, both spectral and spatial feature fusion have been completed. The existing classification strategy leads to increased misclassification, and the feature fusion method is unable to preserve semantic object inherent features; This study addresses the research difficulties by introducing a hybrid spectral-spatial fusion (HSSF) technique to minimize feature size while maintaining object intrinsic qualities; Lastly, a soft-margins kernel is proposed for multi-layer deep support vector machine (MLDSVM) to reduce misclassification. The standard Indian pines dataset is used for the experiment, and the outcome demonstrates that the HSSF-MLDSVM model performs substantially better in terms of accuracy and Kappa coefficient.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
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ML for identifying fraud using open blockchain data.pptx
Sierpinski carpet fractal monopole antenna for ultra-wideband applications
1. International Journal of Electrical and Computer Engineering (IJECE)
Vol. 12, No. 1, February 2022, pp. 983~996
ISSN: 2088-8708, DOI: 10.11591/ijece.v12i1.pp983-996 983
Journal homepage: http://ijece.iaescore.com
Sierpinski carpet fractal monopole antenna for ultra-wideband
applications
Medhal Bharathraj Kumar1
, Praveen Jayappa2
1
Department of Electronics and Communication Engineering, Shri Dharmasthala Manjunstheshwara Institute of Technology, Ujire, India
2
Department of Electronics and Communication Engineering, GM Institute of Technology, Davangere, India
Article Info ABSTRACT
Article history:
Received Jan 29, 2021
Revised Jul 4, 2021
Accepted Jul 18, 2021
Microstrip antenna is broadly used in the modern communication system due
to its significant features such as light weight, inexpensive, low profile, and
ease of integration with radio frequency devices. The fractal shape is applied
in antenna geometry to obtain the ultra-wideband antennas. In this paper, the
sierpinski carpet fractal monopole antenna (SCFMA) is developed for base
case, first iteration and second iteration to obtain the wideband based on its
space filling and self-similar characteristics. The dimension of the monopole
patch size is optimized to minimize the overall dimension of the fractal
antenna. Moreover, the optimized planar structure is proposed using the
microstrip line feed. The monopole antenna is mounted on the FR4 substrate
with the thickness of 1.6 mm with loss tangent of 0.02 and relative
permittivity of 4.4. The performance of this SCFMA is analyzed in terms of
area, bandwidth, return loss, voltage standing wave ratio, radiation pattern
and gain. The proposed fractal antenna achieves three different bandwidth
ranges such as 2.6-4.0 GHz, 2.5-4.3 GHz and 2.4-4.4 GHz for base case,
first and second iteration respectively. The proposed SCFMA is compared
with existing fractal antennas to prove the efficiency of the SCFMA design.
The area of the SCFMA is 25×20 𝑚𝑚2, which is less when compared to the
existing fractal antennas.
Keywords:
Bandwidth
Fractal shape microstrip
antenna
Microstrip line feed
Sierpinski carpet fractal
monopole antenna
Ultra-wideband
This is an open access article under the CC BY-SA license.
Corresponding Author:
Medhal Bharathraj Kumar
Department of Electronics and Communication Engineering, Shri Dharmasthala Manjunstheshwara
Institute of Technology
Dharmasthala Rd, near Siddhavana, Ujire, Karnataka 574240, India
Email: bharathrajkumar100@gmail.com
1. INTRODUCTION
Nowadays, the wideband antennas are widely used as an enormous application in wireless
communication systems due to its higher impedance bandwidth and simple structure [1]. Consequently, the
ultra wideband (UWB) technology is considered as the significant solution for future wireless
communication based on its huge frequency spectrum from 3.1 GHz to 10.6 GHz [2]-[4]. In developing the
communication system, the antenna is required to be designed with less power consumption, inexpensive,
low profile, lesser complexity, higher precision ranging, light weight, and ease of implementation [5]-[7].
The UWB technology is used in different applications such as high-accuracy radars, medical imaging
systems, high-data rate wireless communications, remote sensing, medical monitoring, and medical sensor
data collection systems [8]-[9]. These UWB antennas are constructed in different designs such as dipole and
monopole/logarithmic antenna. In UWB applications, the monopole antennas are considered due to its
various advantages such as simple structure, easy fabrication, good radiation, and ultra-wide band frequency
[10]-[11].
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The fractal geometry shape is used as antenna shapes instead of the euclidean geometries because of
its space filling property, also, this fractal geometry is used to obtain the multi-band operation and
miniaturization [12]-[14]. The property of space filling in a small area improves the electrical path length of
the designed antenna [15]. Generally, the fractal geometry is applied into the patch and it is added in the
antenna for designing the fractal antenna which is used to obtain the compact, small side lobe arrays and
higher gain aerials [16]-[17]. However, the fractal antennas have different challenges such as radiation
pattern enhancement, arbitrary frequency ratio, uniformity of impedance, polarization in multiband and
directivity [18]. The Sierpinski fractal antenna is considered as an enormous structure between the fractal
antennas. In the design of electromagnetic band-gap, the Sierpinski curve is developed to avoid the
simultaneous switching noise over high-speed circuits. This Sierpinski antenna is used to obtain the multi-
band performance, but the difficulty occurs while designing the antenna for the desired frequency [19]-[20].
The main contributions of this paper are given as follows: The sierpinski carpet fractal monopole
antenna (SCFMA) design is developed until two iterations to obtain maximum bandwidth. Therefore, the
maximum bandwidth is obtained based on the space filling and self-similar features. Moreover, the reduction
in monopole patch size is proposed to minimize area of the overall antenna structure. Here, the patch and the
ground are developed using the copper as well as FR4 is used as a substrate with loss tangent of 0.02 and
relative permittivity of 4.4.
The overall organization of the paper are given as follows: The literature survey about the recent
fractal shape-based antenna structures is surveyed in section 2. The implementation of SCFMA design up to
two iterations along with its dimensions are mentioned in section 3. The results and discussion of the
SCFMA design is described in section 4. Finally, the conclusion is made in section 5.
2. LITERATURE SURVEY
Thakare [21] analyzed the bandwidth improvement of printed circular planar fractal monopole
antenna with and without the proximity coupling. The feed techniques of coal pyrolysis wastewater (CPW)
and microstrip line were used to improve the multiband bandwidth in the fractal monopole antenna designed
with the coupled proximity ring. Here, the feed technique was used due to the properties of self-similarity in
the iterative fractal antenna. This work failed to analyze the gain value of the fractal monopole antenna for all
its four iterations.
Gupta and Mathur [22] designed the square shaped UWB fractal antenna along with the right angled
isosceles (RIT) Koch in the margin of the patch. The circle shape was developed in the center of the patch to
obtain the circular polarization in the resonant frequencies. However, the return loss was improved only
when the appropriate matching was done in this fractal antenna.
Varamini et al. [23] presented the microstrip antenna with Sierpinski carpet (MASC) to enhance the
matching and bandwidth and the Minkowski fractal was used to maximize the antenna area. The permeability
and permittivity were obtained to split ring resonator (i.e., metamaterial) by using the reflection/transmission
method. The feature of reconfigurability was achieved by accomplishing the junction in the metamaterial
layer. The first antenna was obtained two different resonances such as 3.2 and 4.5 GHz whereas the second
antenna was obtained two more resonances such as 3.5 and 5.8 GHz by varying the metamaterial layer. This
work analyzed the antenna gain and efficiency only for the indoor application.
Sharma and Sharma [24] presented the two-hybrid fractal slot for designing the microstrip patch
antenna (MPA). In this antenna, the Koch curve was used in the first slot as well as the combination of Koch
curve with Minkowski was used to develop the second slot. This hybrid fractal slot was designed with the
partial ground plane to obtain the wideband applications. The antenna’s gain and bandwidth were optimized
by varying the length of partial ground plane. However, the gain of the hybrid fractal slot antenna was less in
the wideband applications.
Awan et al. [25] developed the ultra-thin flexible patch antenna for Indian summer monsoon (ISM)
applications. The utilization of fractal patches was reduced the size up to 30% according to the typical
quadrilateral patch. Next, a rectangular stub was used in the feedline to minimize the harmonics. Hence, this
ultra-thin flexible patch antenna was used to obtain compact size, wide bandwidth, and moderate gain.
However, the resonating frequency of the antenna was affected because of the stub used in the fractal patch.
Jindal et al. [26] presented the Minkowski and meander curve-based hybrid fractal antenna
(MMFHA) for the mobile devices. Here, the mobile devices were used in various communication
applications such as mobile ad hoc networks, delay tolerant networks and wireless sensor networks. In this
MMFHA, an impedance bandwidth was enhanced by Meander curve as well as multiband was achieved by
using the Minkowski curves. However, the impedance was affected with the notch at the ground plane of
MMFHA.
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3. SCFMA DESIGN
In this SCFMA design, the bandwidth of the antenna is minimized by implementing the sierpinski
carpet up to two iterations. The size of monopole patch is optimized for reducing the overall area of antenna
design. Initially, this SCFMA design considers the rectangle shape patch and then the square shaped slots are
removed in the base case, first iteration and second iteration. The process of this SCFMA design has two
major steps which are antenna design configuration and parametric study of the SCFMA design. The antenna
design configuration shows the base case, first iteration and second iteration antenna design along with its
dimension. The parametric study describes the effect of fractal shapes in microstrip patch. The design process
of the SCFMA is described in the following section.
3.1. Sierpinski fractal antenna
The design of Sierpinski carpet is generally a plane fractal which is developed by the Wacław
Sierpiński in 1916. The method of partitioning the shape into smaller copies of itself, eliminating one or more
replicas and is recursively prolonged to other shapes. In this Sierpinski carpet structure, the middle rectangle
is removed in the base case and it is repeated for next two iterations to obtain the wideband frequency range.
3.1.1. Sierpinski carpet
In this proposed design, the structure of Sierpinski carpet is initialized with rectangle structure. The
rectangle structure is divided into 9 corresponding sub-rectangles in a 3-by-3 grid. The central sub-rectangle
removed the base case and this procedure is repeated in first iteration for the remaining sub-rectangles.
Additionally, the same procedure is extended in second iteration for all the 8 sub-rectangles of the microstrip
antenna. The design of microstrip antenna contains the specific parameters such as resonant frequency
antenna width, effective dielectric constant, effective antenna length, length extension, and patch length.
a. Antenna width (𝑊)
A practical width (W) is calculated for an effective microstrip antenna which leads to obtain better
radiation pattern. The expression to calculate the antenna width is given in the (1).
𝑊 =
𝑐
2𝑓
𝑟
√
2
𝜀𝑟 + 1 (1)
Where, 𝑐 is represented as velocity of the light (3 × 108
𝑚/𝑠), relative permittivity is represented as 𝜀𝑟 and
resonating frequency is represented as 𝑓
𝑟.
b. Effective dielectric constant (𝜀𝑟
𝑒𝑓𝑓
)
The effective dielectric constant of the microstrip antenna is calculated using the following (2).
𝜀𝑟
𝑒𝑓𝑓
=
𝜀𝑟 + 1
2
+
𝜀𝑟 − 1
2
[1 + 12(ℎ/𝑊]−1/2
(2)
c. Antenna length (𝐿𝑒𝑓𝑓)
Generally, the width and length of microstrip antenna is identified by selecting the substrate. The
equation (3) shows the effective length of the patch used in the antenna design.
𝐿𝑒𝑓𝑓 =
𝑐
2√𝜀𝑟
𝑒𝑓𝑓
(
1
𝑓
𝑟
)
(3)
d. Length extension (∆𝐿)
The fields in the patch edge experiences the fringing while designing the antenna. The length of the
path is increased by ∆𝐿 on both sides of the patch, because of the fringing fields along the patch length. The
extension of the length is given in the (4).
∆𝐿 = 0.412ℎ [
(𝜀𝑟
𝑒𝑓𝑓
+ 0.3) (
𝑊
ℎ
+ 0.264)
(𝜀𝑟
𝑒𝑓𝑓
− 0.258) (
𝑊
ℎ + 0.8)
]
(4)
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e. Patch length (𝐿)
The actual patch length is determined by using the (5).
𝐿 = 𝐿𝑒𝑓𝑓 − 2∆𝐿 (5)
The monopole antenna operates at the Wideband frequency but return loss of monopole antenna is low that
affects the overall efficiency. Therefore, the design of SCFMA is proposed in monopole antenna to improve
the bandwidth.
3.2. Design configurations
The structure of Sierpinski carpet fractal antenna is designed from the regular Microstrip patch and
it is operated through different iterations to generate the multiband characteristics. The rectangle patch size
for the base case is 20×25 𝑚𝑚2
and the middle sub-square slot in the size of 7×7 mm2
is removed as shown
in the Figure 1. Next, this Sierpinski carpet fractal antenna is mounted on the substrate with the thickness of
1.6 mm FR4 substrate and this FR4 substrate has loss tangent (𝛿) of 0.02 and relative permittivity (𝜀𝑟) of
4.4. Moreover, the patch and ground are designed by using the copper and the ground plane is created with
the size of 30×7 mm2
as shown in Figure 2. This SCFMA antenna uses the microstrip feed line with the
width of 2.5 mm and length of 10 mm between the patch and ground plane. Moreover, the width and length
of feed inset for the microstrip feed are 0.5 mm and 3 mm respectively.
Figure 1. Structure of SCFMA for base case Figure 2. Structure of ground plane
Where, the length and width of the patch are 𝐿𝑃 and 𝑊𝑃; the length and width of the ground are 𝐿𝐺
and 𝑊𝐺; the length and width of the substrate are 𝐿𝑆 and 𝑊𝑆; the length and width of the feed are 𝐿𝐹 and
𝑊𝐹; the length and width of the feed inset are 𝐿𝐹𝐼 and 𝑊𝐹𝐼; the length and width of the removed slot1 are
𝐿𝑆1 and 𝑊𝑆1. In the first iteration of SCFMA, the 8 sub-rectangles of the SCFMA are again divided into 9
sub rectangles. Similar to the base case, the middle sub square slots are removed from all 8 sub-rectangles of
patch design. The removed slot has the size of 2×2 𝑚𝑚2
over the SCFMA design which is used to obtain the
multi band frequency. The structure of SCFMA for first iteration is shown in Figure 3.
Where, the length and width of the removed rectangle slot2 are 𝐿𝑆2 and 𝑊𝑆2. In second iteration of
SCFMA, the 8 sub rectangles from the first iteration are again divided into 9 sub rectangles. Similar to the
base case, the middle sub squares are removed from all the 8 sub rectangles of patch design. The removed
slot has the size of 0.8×0.8 mm2
over the SCFMA design which is used to obtain the multi band frequency.
The structure of SCFMA for second iteration is shown in Figure 4. Where, the length and width of the
removed rectangle slot3 are 𝐿𝑆3 and 𝑊𝑆3. Additionally, the fabricated design of SCFMA antenna is shown
in Figure 5. The parameter values of the proposed design are given in Table 1.
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Figure 3. Structure of SCFMA for first iteration Figure 4. Structure of SCFMA for second iteration
(a) (b)
(c) (d)
Figure 5. Fabricated SCFMA antenna: (a) base case, (b) first iteration, (c) second iteration, and (d) back view
Table 1. Parameter values of SCFMA design
Parameter Value Parameter Value Parameter Value
𝐿𝑃 25 mm 𝑊𝑃 20 mm 𝐿𝐺 7 mm
𝑊𝐺 30 mm 𝐿𝑆 45 mm 𝑊𝑆 30 mm
𝐻𝑆 1.6 mm 𝐿𝐹 10 mm 𝑊𝐹 2.5 mm
𝐿𝐹𝐼 3 mm 𝑊𝐹𝐼 0.5 mm 𝐿𝑆1 7 mm
𝑊𝑆1 7 mm 𝐿𝑆2 2 mm 𝑊𝑆2 2 mm
𝐿𝑆3 0.8 mm 𝑊𝑆3 0.8 mm - -
3.3. Microstrip line feed
In microstrip line feed, the conducting strip of microstrip patch is directly connected to the edge of
microstrip path as shown in Figure 4. The length and width of the microstrip line feed connected with the
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SCFMA are 10 mm and 2.5 mm respectively. The main advantage of using the microstrip line feed is that the
feed and microstrip are attached in the same and it is used to design flat structure.
3.4. Parametric study of the SCFMA design
The detailed information of the SCFMA design and wideband characteristics are analyzed using this
parametric study. The geometrical and electrical properties affect the characteristics of the wideband antenna.
The constant parameters in the SCFMA design are the dimensions of patch, ground, substrate, feed, and feed
line. In this SCFMA, the fractal structures are developed to obtain the wideband frequencies. Hence, the
dissimilarities in the SCFMA design creates the changes in the return loss, voltage standing wave ratio
(VSWR) and impedance mismatching properties as shown in Figure 2 to Figure 4. Moreover, the return loss
is improved in higher frequencies and weakened lower frequency due to the increment in relative
permittivity. The relative permittivity is selected as 4.4 for SCFMA design because of its better return loss in
higher frequencies. The higher iterations of Sierpinski Carpet fractal structure are used in the microstrip path
antenna for increasing the operating bandwidth of the SCFMA design. Therefore, the SCFMA design obtains
UWB frequencies based on the three different designs such as base case, first iteration and second iteration.
The electric and magnetic field for the three designs of SCFMA are given in the Figures 6 and 7 respectively.
(a) (b) (c)
Figure 6. Electric field for SCFMA design: (a) base case, (b) first iteration, and (c) second iteration
(a) (b) (c)
Figure 7. Magnetic field for SCFMA design: (a) base case, (b) first iteration, and (c) second iteration
4. RESULTS AND DISCUSSION
The results and discussion of the proposed SCFMA design is discussed in this section. The proposed
SCFMA implementation and simulation are carried out using the high-frequency structure simulator (HFSS)
which is operated in a Windows 8 operating system with Intel core i3 processor and 4 GB RAM. This
proposed SCFMA design is accomplished in three different designs such as base case, first iteration and
second iteration as well as the dimensions of this SCFMA design is given in the Table 1. The performance of
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the SCFMA design is analyzed in terms of return loss, VSWR, radiation pattern and gain. Moreover, the
results of the SCFMA design are analyzed using both the simulation and fabrication which are described as
follows:
4.1. Results from simulation
This section shows the results taken from the simulation using HFSS software. Here, the results are
given for SCFMA design with base case, first iteration and second iteration.
4.1.1. Return loss
Return loss is the reflection of signal’s power when the signal reflection is entered in the
transmission line and this return loss is expressed in the (6):
𝑆11 = −20 log|Γ| (6)
where the reflection coefficient is represented as Γ that is the ratio between incident wave’s amplitude and
reflected wave’s amplitude.
The return loss for the SCFMA at base case, first iteration and second iteration are shown in the
Figures 8, 9 and 10 respectively. The resonant frequency of the SCFMA design in base case is 3.4 GHz with
a bandwidth of 2.6-4.0 GHz for the return loss value-16.0931 dB. Similarly, the resonant frequency of the
SCFMA design in first iteration is 3.2 GHz with a bandwidth of 2.5-4.3 GHz for the return loss
value -21.0295 dB. However, the SCFMA design in second iteration achieves two different resonant
frequencies which are 2.8 GHz and 3.8 GHz in the bandwidth of 2.4-4.4 GHz. The return loss of SCFMA
design in second iteration obtains two different return loss with respect to the two frequencies -48.4897 dB
and -46.7584 dB. Figures 8 to 10 show the return loss of base case which is less when compared to the other
designs such as first iteration and second iteration.
Figure 8. Return loss of SCFMA at base case Figure 9. Return loss of SCFMA at first iteration
Figure 10. Return loss of SCFMA at second iteration
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4.1.2. VSWR
VSWR is the ratio between the maximum voltage (𝑉
𝑚𝑎𝑥) and minimum voltage (𝑉𝑚𝑖𝑛) of the
antenna which is expressed in the (7).
𝑉𝑆𝑊𝑅 =
𝑉
𝑚𝑎𝑥
𝑉𝑚𝑖𝑛
=
|1 + Γ|
|1 − Γ| (7)
Figures 11, 12 and 13 shows the VSWR of SCFMA at base case, first iteration and second iteration
respectively. The VSWR for the proposed SCFMA in base case and first iteration are 1.5 and 1.8
respectively. However, the SCFMA in second iteration creates two different VSWR which are 1.7 and 1.6.
Figure 11 to Figure 13 shows that the VSWR of all 3 designs of SCFMA are less than 2 which shows that it
provides better radiation patterns. Hence, the proposed SCFMA obtains better VSWR based on an effective
matching between the fractal antenna and microstrip feed line as well as the lesser VSWR improves the
frequency and minimizes the loss in the transmitted power.
Figure 11. VSWR of SCFMA at base case Figure 12. VSWR of SCFMA at first iteration
Figure 13. VSWR of SCFMA at second iteration
4.1.3. Radiation pattern
The radiation pattern is considered as one of the main parameters in the antenna design that
illustrates the ratio of power radiated to input power. This radiation pattern also considers dielectric losses
and conduction. The radiation pattern of the SCFMA for base case, first iteration and second iteration are
shown in the Figure 14, 15 and 16 respectively. Here, the radiation pattern is calculated by varying the angle
(𝜃) from -180° to+180°. The radiation pattern presented in the Figures 14, 15 and 16 shows that the SCFMA
achieves the better radiation pattern in the bandwidth range of 2.6-4.0 GHz, 2.5-4.3 GHZ and 2.4-4.4 GHz
respectively. The calculated radiation pattern shows that the SCFMA design obtains a reliable
omnidirectional radiation pattern in both the lower and higher frequencies.
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Figure 14. Radiation pattern of SCFMA at base
case
Figure 15. Radiation pattern of SCFMA at first
iteration
Figure 16. Radiation pattern of SCFMA at second iteration
4.1.4. Gain
The ratio between the antenna’s output power and antenna’s total input power is defined as gain.
The input power to the antenna is the total power which includes overall losses power and radiated power.
The gain of the antenna is expressed in the (8).
𝐺𝑎𝑖𝑛 =
𝑂𝑢𝑡𝑝𝑢𝑡𝑝𝑜𝑤𝑒𝑟𝑜𝑓𝑡ℎ𝑒𝑎𝑛𝑡𝑒𝑛𝑛𝑎
𝐼𝑛𝑝𝑢𝑡𝑝𝑜𝑤𝑒𝑟𝑜𝑓𝑡ℎ𝑒𝑎𝑛𝑡𝑒𝑛𝑛𝑎 (8)
Figures 17, 18 and 19 shows the gain of SCFMA at base case, first iteration and second iteration respectively.
Figures 17, 18 and 19 shows that the value of gain are 1.97 dB, 1.90 dB and 2.94 dB respectively. The
antenna with higher gain is used to increase the line of sight path. Hence, the SCFMA design provides higher
bandwidth such as 2.6-4.0 GHz, 2.5-4.3 GHZ and 2.4-4.4 GHz for base case, first iteration and second
iteration respectively.
4.2. Results from fabrication
Figures 20, 21 and 22 shows the return loss for the fabricated SCFMA at base case, first iteration
and second iteration respectively. The return loss for the fabricated SCFMA design at base case and first
iteration is -16.0931 dB and-21.0295 dB respectively. Additionally, this fabricated SCFMA designed for the
second iteration gives two different return losses which are -48.4897 dB and -46.7584 dB. This return loss
analysis proves that the fabricated SCFMA design is similar to the simulation results. The results taken from
the fabrication design is analyzed in this section. Here, the results are analyzed in terms of return loss, VSWR
and radiation pattern.
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Figure 17. Gain of SCFMA at base case Figure 18. Gain of SCFMA at first iteration
Figure 19. Gain of SCFMA at second iteration Figure 20. Return loss of fabricated SCFMA at base
case
Figure 21. Return loss of fabricated SCFMA at first
iteration
Figure 22. Return loss of fabricated SCFMA at
second iteration
The VSWR response of fabricated SCFMA at base case, first iteration and second iteration are
shown in the Figures 23, 24 and 25 respectively. The Figures 23 to 25 shows that the VSWR for the base
case and first iteration of the fabricated SCFMA are 1.5 and 1.8 respectively. Next, the second iteration of
fabricated SCFMA creates two different VSWR ranges such as 1.7 and 1.6. From this VSWR analysis, it
concluded that the VSWR is less than 2 for all the three bandwidth values that are 2.6-4.0 GHz, 2.5-4.3 GHz
and 2.4-4.4 GHz which helps to avoid the interferences.
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Figure 23. VSWR of fabricated SCFMA at base case Figure 24. VSWR of fabricated SCFMA at first
iteration
Figure 25. VSWR of fabricated SCFMA at second iteration
Figures 26, 27, 28 and 29 shows the radiation pattern for the resonant frequencies of 3.4 GHz,
3.2 GHz, 2.8 GHz and 3.8 GHz respectively. Here, the Figures 26 and 27 shows the radiation pattern for the
base case and first iteration respectively. Next, the Figures 28 and 29 shows the radiation pattern for the
second iteration at two different resonant frequency ranges which are 2.8 GHz and 3.8 GHz. From the
fabrication analysis, it concluded that the proposed SCFMA design provides better results in both the
simulation and fabrication designs.
(a) (b)
Figure 26. Radiation pattern of base case-3.4GHz: a) E-Plane, b) H-Plane
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(a) (b)
Figure 27. Radiation pattern of first iteration-3.2 GHz: a) E-Plane, b) H-Plane
(a) (b)
Figure 28. Radiation pattern of second iteration-2.8 GHz: a) E-Plane, b) H-Plane
(a) (b)
Figure 29. Radiation pattern of second iteration-3.8 GHz: a) E-Plane, b) H-Plane
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Table 2 shows the performance analysis of the SCFMA design for three different iterations. The
SCFMA design obtains three different bandwidths for three iterations 2.6-4.0 GHz, 2.5-4.3 GHz and
2.4-4.4 GHz respectively. Table 3 shows the comparative analysis of the proposed SCFMA with existing
fractal antennas such as monopole fractal antenna [21], square patch MPA [22], MASC [23], Koch-
Minkowski hybrid slot based MPA [24], fractal antenna [25] and MMFHA [26]. The SCFMA design
achieves lesser size than the existing fractal antennas by optimizing the structure of the monopole patch while
designing the fractal structures. Here, the optimized planar structure of SCFMA is designed by using the
microstrip line feed. The better selection of microstrip line feeding for the SCFMA design is used to achieve
better return loss than the existing fractal antennas.
Table 2. Performance analysis of the SCFMA design
Iteration Return Loss (-dB) Bandwidth (GHz) Resonant frequency (GHz) VSWR GAIN (dB)
Base –16.0931 2.6-4.0 3.4 1.5 1.97
Iteration 1 –21.0295 2.5-4.3 3.2 1.8 1.90
Iteration 2 -48.4897 & -46.7584 2.4-4.4 2.8 & 3.8 1.7& 1.6 2.94
Table 3. Comparison of SCFMA with existing fractal antennas
Year Antenna Design Parameter Analysis
Size Return Loss
2016 Monopole fractal antenna [21] 110×115 𝑚𝑚2
-18 dB
2017 Square patch MPA [22] 60×55 𝑚𝑚2
-16.91 dB
2018 MASC [23] 40×40 𝑚𝑚2
-43 dB
2018 Koch-Minkowski hybrid slot based MPA [24] 21.92×28.52 𝑚𝑚2
-28 dB
2019 Fractal antenna [25] 35×30 𝑚𝑚2 -15 to -26 dB
2019 MMFHA [26] 35×31 𝑚𝑚2
-26 dB
2021 Proposed Design (SCFMA) 25×20 𝑚𝑚2
-16 to -48dB
5. CONCLUSION
In this paper, the SCFMA is designed using the fractal geometry for UWB applications. The area of
the SCFMA design is minimized by optimizing the size of the monopole patch in the dimensions of
20×25 𝑚𝑚2
. The bandwidth of the SCFMA design is improved by increasing the number of iterations. The
square shaped slots are removed from the rectangle patch during the SCFMA at base case, first iteration and
second iteration. Therefore, the self-similar characteristic of the fractal geometry leads to utilization of the
SCFMA design in the applications of UWB. The bandwidth obtained in the SCFMA at base case, first
iteration and second iteration are 2.6-4.0 GHz, 2.5-4.3 GHZ and 2.4-4.4 GHz respectively. Moreover, the
return loss obtained for the SCFMA at base case, first iteration and second iteration are -16.0931 dB,
-21.0295 and -48.4897 dB and -46.7584 dB respectively. The performance analysis shows that the SCFMA
design provides better performance in terms of area. The area of the SCFMA design is 25×20 mm2
, which is
less when compared to the monopole fractal antenna, square patch MPA, MASC, Koch-Minkowski hybrid
slot based MPA, fractal antenna and MMFHA. In the future, an appropriate antenna can be designed to
minimize the return loss for all the resonating frequencies.
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BIOGRAPHIES OF AUTHORS
Medhal Bharathraj Kumar completed his Bachelor of Engineering in
Electronics and Communication Engineering in 2009 from Visvesvaraya Technological
University (VTU), Belagavi, India, M.Tech in Information technology in 2011, VTU,
Belagavi, India. He is presently working as Assistant Professor in the Department of
Electronics and communication Engineering at Shri Dharmasthala Manjunstheshwara
Institute of Technology, Ujire, Karnataka, India. He has having over 10 years of teaching
experience. Presently he is perusing his Ph.D. in the field of antennas, VTU, Belagavi under
the guidance of Dr. Praveen J, IQAC Director, Professor and HOD, Department of
Electronics and communication Engineering at GM Institute of Technology, He published
four UGC approved journals and attended one national conference. His area of interest is
microwave and antennas. He has attended 4 workshops related to wireless communication
and networks. He can be contacted at email: bharathrajkumar100@gmail.com.
Praveen Jayappa completed his Bachelor of Engineering in Electrical and
Electronics Engineering in the year 1999 from Kuvempu University, Karnataka, India,
M.Tech in VLSI Design and Embedded System in the year 2004 from Visvesvaraya
Technological University (VTU), Karnataka, India, and Ph.D. in Low Power VLSI Design
in the year 2017 from Mysore University, Karnataka, India. He is presently working as
IQAC Director, Professor and HOD in the Department of Electronics and communication
Engineering at GM Institute of Technology, Davangere, Karnataka. India. He has having
over 22 years of teaching experience. He is guiding several research scholars and has
published more than 70 papers in reputed international journals and conference. His areas of
interest are low power VLSI design, frontend and backend VLSI Design. He has delivered
invited talks and organized in-house workshops, certificate programs and Notional and
International Conference. He can be contacted at email: praveenj_vishruth@yahoo.in.