The document presents the outline of a research project on performance evaluation of secure data transmission in wireless sensor networks using IEEE 802.11x standards. The research aims to enhance network lifetime by designing an energy-efficient clustering approach and data aggregation technique. It involves developing a cluster head selection algorithm using genetic algorithms, designing a broadcast tree construction protocol for data transmission, and implementing hash-based authentication. The research will be conducted in phases involving literature review, methodology development, implementation, and performance evaluation. The expected outcomes include reduced data transmission time and improved quality of service through increased network lifetime.
Optimized Cluster Establishment and Cluster-Head Selection Approach in WSNIJCNCJournal
In recent years, limited resources of user products and energy-saving are recognized as the major challenges of Wireless Sensor Networks (WSNs). Clustering is a practical technique that can reduce all energy consumption and provide stability of workload that causes a larger difference in energy depletion among other nodes and cluster heads (CHs). In addition, clustering is the solution of energy-efficient for maximizing the network longevity and improvising energy efficiency. In this paper, a novel OCE-CHS (Optimized Cluster Establishment and Cluster-Head Selection) approach for sensor nodes is represented to improvise the packet success ratio and reduce the average energy-dissipation. The main contribution of this paper is categorized into two processes, first, the clustering algorithm is improvised that periodically chooses the optimal set of the CHs according to the speed of the average node and average-node energy. This is considerably distinguished from node-based clustering that utilizes a distributed clustering algorithm to choose CHs based on the speed of the current node and remaining node energy. Second, more than one factor is assumed for the detached node to join the optimal cluster. In the result section, we discuss our clustering protocols implementation of optimal CH-selection to evade the death of SNs, maximizing throughput, and further improvise the network lifetime by minimizing energy consumption.
An Improved Energy Efficient Wireless Sensor Networks Through Clustering In C...Editor IJCATR
One of the major reason for performance degradation in Wireless sensor network is the overhead due to control packet and packet delivery degradation. Clustering in cross layer network operation is an efficient way manage control packet overhead and which ultimately improve the lifetime of a network. All these overheads are crucial in a scalable networks. But the clustering always suffer from the cluster head failure which need to be solved effectively in a large network. As the focus is to improve the average lifetime of sensor network the cluster head is selected based on the battery life of nodes. The cross-layer operation model optimize the overheads in multiple layer and ultimately the use of clustering will reduce the major overheads identified and their by the energy consumption and throughput of wireless sensor network is improved. The proposed model operates on two layers of network ie., Network Layer and Transport Layer and Clustering is applied in the network layer . The simulation result shows that the integration of two layers reduces the energy consumption and increases the throughput of the wireless sensor networks.
Every cluster comprise of a leader which is known as cluster head. The cluster head will be chosen by the sensor nodes in the individual cluster or be pre-assigned by the user. The main advantages of clustering are the transmission of aggregated data to the base station, offers scalability for huge number of nodes and trims down energy consumption. Fundamentally, clustering could be classified into centralized clustering, distributed clustering and hybrid clustering. In centralized clustering, the cluster head is fixed. The rest of the nodes in the cluster act as member nodes. In distributed clustering, the cluster head is not fixed. The cluster head keeps on shifting form node to node within the cluster on the basis of some parameters. Hybrid clustering is the combination of both centralized clustering and distributed clustering mechanisms. This paper gives a brief overview on clustering process in wireless sensor networks. A research on the well evaluated distributed clustering algorithm Low Energy Adaptive Clustering Hierarchy (LEACH) and its followers are portrayed artistically. To overcome the drawbacks of these existing algorithms a hybrid distributed clustering model has been proposed for attaining energy efficiency to a larger scale.
A Cluster-Based Routing Protocol and Fault Detection for Wireless Sensor NetworkIJCNCJournal
In Wireless Sensors Networks (WSN) based application, a large number of sensor devices must be deployed. Energy efficiency and network lifetime are the two most challenging issues in WSN. As a consequence, the main goal is to reduce the overall energy consumption using clustering protocols which have to ensure reliability and connectivity in large-scale WSN. This work presents a new clustering and routing algorithm based on the properties of the sensor networks. The main goal of this work is to extend the network lifetime via charge equilibration in the WSN. According to many errors with sensing devices and to have greater data accuracy, we use a quorum mechanism. The proposed algorithms are evaluated widely and the results are compared with related works. The experimental results show that the proposed algorithm provides an effective improvement in terms of energy consumption, data accuracy and network lifetime.
SLGC: A New Cluster Routing Algorithm in Wireless Sensor Network for Decrease...IJCSEA Journal
Decrease energy consumption and maximizing network lifetime are important parameters in designing and protocols for wireless sensor network (WSN).Clustering is one of the efficient methods in energy consumption by Cluster-Head in WSN. Besides, CH can process and aggregate data sent by cluster members, thus reducing network traffic for sending data to sink. In this paper presents a new cluster routing algorithm by dividing network into grids. In each grid computes the center-gravity and threshold of energy for selecting the node that has the best condition base on these parameters in grid for selecting Cluster-Head in current round, also SLGC selecting Cluster-Heads for next rounds thereby this CHs reduce the volume of controlling messages for next rounds and inform nodes for sending data into CH of respective round. This algorithm prolong network lifetime and decrease energy consumption by selecting CH in grid and sending data of grid to sink by this CH. Result of simulation shows that SLGC algorithm in comparison with the previous clustering algorithm has maximizing network lifetime and decrease energy consumption in network.
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.
Optimized Cluster Establishment and Cluster-Head Selection Approach in WSNIJCNCJournal
In recent years, limited resources of user products and energy-saving are recognized as the major challenges of Wireless Sensor Networks (WSNs). Clustering is a practical technique that can reduce all energy consumption and provide stability of workload that causes a larger difference in energy depletion among other nodes and cluster heads (CHs). In addition, clustering is the solution of energy-efficient for maximizing the network longevity and improvising energy efficiency. In this paper, a novel OCE-CHS (Optimized Cluster Establishment and Cluster-Head Selection) approach for sensor nodes is represented to improvise the packet success ratio and reduce the average energy-dissipation. The main contribution of this paper is categorized into two processes, first, the clustering algorithm is improvised that periodically chooses the optimal set of the CHs according to the speed of the average node and average-node energy. This is considerably distinguished from node-based clustering that utilizes a distributed clustering algorithm to choose CHs based on the speed of the current node and remaining node energy. Second, more than one factor is assumed for the detached node to join the optimal cluster. In the result section, we discuss our clustering protocols implementation of optimal CH-selection to evade the death of SNs, maximizing throughput, and further improvise the network lifetime by minimizing energy consumption.
An Improved Energy Efficient Wireless Sensor Networks Through Clustering In C...Editor IJCATR
One of the major reason for performance degradation in Wireless sensor network is the overhead due to control packet and packet delivery degradation. Clustering in cross layer network operation is an efficient way manage control packet overhead and which ultimately improve the lifetime of a network. All these overheads are crucial in a scalable networks. But the clustering always suffer from the cluster head failure which need to be solved effectively in a large network. As the focus is to improve the average lifetime of sensor network the cluster head is selected based on the battery life of nodes. The cross-layer operation model optimize the overheads in multiple layer and ultimately the use of clustering will reduce the major overheads identified and their by the energy consumption and throughput of wireless sensor network is improved. The proposed model operates on two layers of network ie., Network Layer and Transport Layer and Clustering is applied in the network layer . The simulation result shows that the integration of two layers reduces the energy consumption and increases the throughput of the wireless sensor networks.
Every cluster comprise of a leader which is known as cluster head. The cluster head will be chosen by the sensor nodes in the individual cluster or be pre-assigned by the user. The main advantages of clustering are the transmission of aggregated data to the base station, offers scalability for huge number of nodes and trims down energy consumption. Fundamentally, clustering could be classified into centralized clustering, distributed clustering and hybrid clustering. In centralized clustering, the cluster head is fixed. The rest of the nodes in the cluster act as member nodes. In distributed clustering, the cluster head is not fixed. The cluster head keeps on shifting form node to node within the cluster on the basis of some parameters. Hybrid clustering is the combination of both centralized clustering and distributed clustering mechanisms. This paper gives a brief overview on clustering process in wireless sensor networks. A research on the well evaluated distributed clustering algorithm Low Energy Adaptive Clustering Hierarchy (LEACH) and its followers are portrayed artistically. To overcome the drawbacks of these existing algorithms a hybrid distributed clustering model has been proposed for attaining energy efficiency to a larger scale.
A Cluster-Based Routing Protocol and Fault Detection for Wireless Sensor NetworkIJCNCJournal
In Wireless Sensors Networks (WSN) based application, a large number of sensor devices must be deployed. Energy efficiency and network lifetime are the two most challenging issues in WSN. As a consequence, the main goal is to reduce the overall energy consumption using clustering protocols which have to ensure reliability and connectivity in large-scale WSN. This work presents a new clustering and routing algorithm based on the properties of the sensor networks. The main goal of this work is to extend the network lifetime via charge equilibration in the WSN. According to many errors with sensing devices and to have greater data accuracy, we use a quorum mechanism. The proposed algorithms are evaluated widely and the results are compared with related works. The experimental results show that the proposed algorithm provides an effective improvement in terms of energy consumption, data accuracy and network lifetime.
SLGC: A New Cluster Routing Algorithm in Wireless Sensor Network for Decrease...IJCSEA Journal
Decrease energy consumption and maximizing network lifetime are important parameters in designing and protocols for wireless sensor network (WSN).Clustering is one of the efficient methods in energy consumption by Cluster-Head in WSN. Besides, CH can process and aggregate data sent by cluster members, thus reducing network traffic for sending data to sink. In this paper presents a new cluster routing algorithm by dividing network into grids. In each grid computes the center-gravity and threshold of energy for selecting the node that has the best condition base on these parameters in grid for selecting Cluster-Head in current round, also SLGC selecting Cluster-Heads for next rounds thereby this CHs reduce the volume of controlling messages for next rounds and inform nodes for sending data into CH of respective round. This algorithm prolong network lifetime and decrease energy consumption by selecting CH in grid and sending data of grid to sink by this CH. Result of simulation shows that SLGC algorithm in comparison with the previous clustering algorithm has maximizing network lifetime and decrease energy consumption in network.
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.
Hierarchical Coordination for Data Gathering (HCDG) in Wireless Sensor NetworksCSCJournals
A wireless sensor network (WSN) consists of large number of sensor nodes where each node operates by a finite battery for sensing, computing, and performing wireless communication tasks. Energy aware routing and MAC protocols were proposed to prolong the lifetime of WSNs. MAC protocols reduce energy consumption by putting the nodes into sleep mode for a relatively longer period of time; thereby minimizing collisions and idle listening time. On the other hand, efficient energy aware routing is achieved by finding the best path from the sensor nodes to the Base Sta-tion (BS) where energy consumption is minimal. In almost all solutions there is always a tradeoff between power consumption and delay reduction. This paper presents an improved hierarchical coordination for data gathering (HCDG) routing schema for WSNs based on multi-level chains formation with data aggregation. Also, this paper provides an analytical model for energy consumption in WSN to compare the performance of our proposed HCDG schema with the near optimal energy reduction methodology, PEGASIS. Our results demonstrate that the proposed routing schema provides relatively lower energy consumption with minimum delay for large scale WSNs.
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IMPROVEMENTS IN ROUTING ALGORITHMS TO ENHANCE LIFETIME OF WIRELESS SENSOR NET...IJCNCJournal
Wireless sensor network (WSN) brings a new paradigm of real-time embedded systems with limited
computation, communication, memory, and energy resources that are being used fora huge range of
applications. Clustering in WSNs is an effective way to minimize the energy consumption of sensor nodes.
In this paper improvements in various parameters are compared for three different routing algorithms.
First, it is started with Low Energy Adaptive Cluster Hierarchy (LEACH)which is a famed clustering
mechanism that elects a CH based on the probability model. Then, work describes a Fuzzy logic system
initiated CH selection algorithm for LEACH. Then Artificial Bee Colony (ABC)which is an optimisation
protocol owes its inspiration to the exploration behaviour of honey bees. In this study ABC optimization
algorithm is proposed for fuzzy rule selection. Then, the results of the three routing algorithms are
compared with respect to various parameters
FUZZY-CLUSTERING BASED DATA GATHERING IN WIRELESS SENSOR NETWORK ijsc
Wireless Sensor Networks (WSN) is spatially distributed, collection of sensor nodes for the purpose of
monitoring physical or environmental conditions, such as temperature, sound, pressure, etc. and to
cooperatively pass their data through the network to a base station. The critical challenge is to minimize
the energy consumption in data gathering and forwarding from sensor nodes to the sink. Cluster based
data aggregation is one of the most popular communication protocols in this field. Clustering is an
important procedure for extending the network lifetime in wireless sensor networks. Cluster Heads (CH)
aggregate data from relevant cluster nodes and send it to the base station. A main challenge in WSNs is to
select suitable CHs. Another communication protocol is based on a tree construction. In this protocol,
energy consumption is low because there are short paths between the sensors. In this paper, Dynamic
Fuzzy Clustering data aggregation is introduced. This approach is based on clustering and minimum
spanning tree. The proposed method initially uses fuzzy decision making approach for the selection of CHs.
Afterward a minimum spanning tree is constructed based on CHs. CHs are selected efficiently and
accurately. The combining clustering and tree structure is reclaiming the advantages of the previous
structures. Our method is compared to the well-known data aggregation methods, in terms of energy
consumption and the amount of energy residuary in each sensor network lifetime. Our method decreases
energy consumption of each node. When the best CHs selected and the minimum spanning tree is formed by
the best CHs, the remaining energy of the nodes will be preserved. Node lifetime has an important role in
WSN. Using our proposed data aggregation algorithm, survival of the network is improved
Data Dissemination in Wireless Sensor Networks: A State-of-the Art SurveyCSCJournals
A wireless sensor network is a network of tiny nodes with wireless sensing capacity for data collection processing and further communicating with the Base Station this paper discusses the overall mechanism of data dissemination right from data collection at the sensor nodes, clustering of sensor nodes, data aggregation at the cluster heads and disseminating data to the Base Station the overall motive of the paper is to conserve energy so that lifetime of the network is extended this paper highlights the existing algorithms and open research gaps in efficient data dissemination.
SECTOR TREE-BASED CLUSTERING FOR ENERGY EFFICIENT ROUTING PROTOCOL IN HETEROG...IJCNCJournal
One of the main challenges for researchers to build routing protocols is how to use energy efficiently to extend the lifespan of the whole wireless sensor networks (WSN) because sensor nodes have limited battery power resources. In this work, we propose a Sector Tree-Based clustering routing protocol (STB-EE) for Energy Efficiency to cope with this problem, where the entire network area is partitioned into dynamic sectors (clusters), which balance the number of alive nodes. The nodes in each sector only communicate with their nearest neighbour by constructing a minimum tree based on the Kruskal algorithm and using mixed distance from candidate node to base station (BS) and remaining energy of candidate nodes to determine which node will become the cluster head (CH) in each cluster? By calculating the duration of time in each round for suitability, STB-EE increases the number of data packets sent to the BS. Our simulation results show that the network lifespan using STB-EE can be improved by about 16% and 10% in comparison to power-efficient gathering in sensor information system (PEGASIS) and energy-efficient PEGASIS-based protocol (IEEPB), respectively.
GREEDY CLUSTER BASED ROUTING FOR WIRELESS SENSOR NETWORKSijcsit
In recent years, applications of wireless sensor networks have evolved in many areas such as target tracking, environmental monitoring, military and medical applications. Wireless sensor network continuously collect and send data through sensor nodes from a specific region to a base station. But, data redundancy due to neighbouring sensors consumes energy, compromising the network lifetime. In order to improve the network lifetime, a novel cluster based local route search method, called, Greedy Clusterbased Routing (GCR) technique in wireless sensor network. The proposed GCR method uses arbitrary timer in order to participate cluster head selection process with maximum neighbour nodes and minimum distance between the source and base station. GCR constructs dynamic routing improving the rate of network lifetime through Mass Proportion value. Also, GCR uses a greedy route finding strategy for
balancing energy consumption. Experimental results show that GCR achieves significant energy savings and prolong network lifetime.
Energy Consumption Reduction in Wireless Sensor Network Based on ClusteringIJCNCJournal
ABSTRACT
One of the important issues in the routing protocol design in Wireless Sensor Networks (WSNs) is minimizing energy consumption and maximizing network lift time. Nowadays networks and information systems are one of the main parts of modern life that without them, people cannot live. On the hand, the impairment of these networks leads to great and incalculable costs. In this paper, a new method based on clustering has presented that problem of energy consumption is solved. The proposed algorithm is that energy-based clustering can create clusters of the same energy level and distribute energy efficiency across the WNS nodes. This proposed clustering protocol classify network nodes based on energy and neighbourhood criteria and attempts to better balance energy in clusters and ultimately increase network lifetime and maintain network coverage. Results are shown that the proposed algorithm is on average 40% better than LEACH algorithm and 14% better than IBLEACH algorithm.
KEYWORDS
Wireless Sensor Network, Clustering, LEACH Algorithm, IBLEACH Algorithm
Abstract Link : http://aircconline.com/abstract/ijcnc/v11n2/11219cnc03.html
Full Details : http://aircconline.com/ijcnc/V11N2/11219cnc03.pdf
Review on Clustering and Data Aggregation in Wireless Sensor NetworkEditor IJCATR
Wireless Sensor Network is a collection of various sensor nodes with sensing and communication capabilities. Clustering is the
process of grouping the set of objects so that the objects in the same group are similar to each other and different to objects in the other
group. The main goal of Data Aggregation is to collect and aggregate the data by maintaining the energy efficiency so that the network
lifetime can be increased. In this paper, I have presented a comprehensive review of various clustering routing protocols for WSN, their
advantages and limitation of clustering in WSN. A brief survey of Data Aggregation Algorithm is also outlined in this paper. Finally, I
summarize and conclude the paper with some future directions
Data aggregation in wireless sensor network based on dynamic fuzzy clusteringcsandit
Wireless Sensor Networks (WSN) use a plurality of s
ensor nodes that unceasingly collected and
sent data from a specific area to a base station. C
luster based data aggregation is one of the
popular protocols in WSN. Clustering is an importan
t procedure for extending the network
lifetime in WSNs. Cluster Heads (CH) aggregate data
from relevant cluster nodes and send it to
the base station. A main challenge in WSNs is to se
lect suitable CHs. In another communication
protocol based on a tree construction, energy consu
mption is low because there are short paths
between the sensors. In this paper, we propose Dyna
mic Fuzzy Clustering (DFC) data
aggregation. The proposed method first uses fuzzy d
ecision making approach for the selection
of CHs and then a minimum spanning tree is construc
ted based on CHs. CHs are selected
efficiently and accurately. The combining clusterin
g and tree structure is reclaiming the
advantages of the previous structures. Our method i
s compared to Low Energy Adaptive
Clustering Hierarchy (LEACH), Cluster and Tree Dara
Aggregation (CTDA), Modified Cluster
based and Tree based Data Aggregation (MCTDA) and C
luster based and Tree based Power
Efficient Data Collection and Aggregation (CTPEDCA)
.Our method decreases energy
consumption of each node. In DFC data aggregation,
the node lifetime is increased and the
survival of the WSN is improved.
Congestion Control Clustering a Review PaperEditor IJCATR
Wireless Sensor Networks consists of sensor nodes which are scattered in the environment, gather data and transmit it to a
base station for processing. Energy conservation in the Wireless Sensor Networks (WSN) is a very important task because of their
limited battery power. The related works so far have been done have tried to solve the problem keeping in the mind the constraints of
WSNs. In this paper, a priority based application specific congestion control clustering (PASCCC) protocol has been studied, which
often integrates the range of motion and heterogeneity of the nodes to detect congestion in a very network. Moreover a comparison of
the various clustering techniques has been done. From the survey it has been found that none of the protocol is efficient for energy
conservation. Hence the paper ends with future scope to overcome these issues.
The novel applications of sensor networks impose some requirements in wireless sensor network design. With the energy efficiency and lifetime awareness, the throughput and network delayalso required to support emerging applications of sensor networks. In this paper, we propose
throughput and network delay aware intra-cluster routing protocol. We introduce the back-up links in the intra-cluster communication path. The link throughput, communication delay, packet loss ratio, interference, residual energy and node distance are the considered factors in finding efficient path of data communication among the sensor nodes within the cluster. The
simulation result shows the higher throughput and lower average packet delay rate for the proposed routing protocol than the existing benchmarks. The proposed routing protocol also shows energy efficiency and lifetime awareness with better connectivity rate.
ENERGY SAVINGS IN APPLICATIONS FOR WIRELESS SENSOR NETWORKS TIME CRITICAL REQ...IJCNCJournal
Along with handling and poor storage capacity, each sensor in wireless sensor network (WSN) is equipped
with a limited power source and very difficult to be replaced in most application environments. Improving
the energy savings in applications for wireless sensor networks is necessary. In this paper, we mainly focus
on energy consumption savings in applications for wireless sensor networks time critical requirements. Our
Paper accompanying analysis of advanced technologies for energy saving techniques for the optimization
of energy efficiency together with the data transmission is optimal. Moreover, we propose improvements to
increase energy savings in applications for wireless sensor networks require time critical (LEACH
improvements). Simulation results show that our proposed protocol significantly better than LEACH about
the formation of clusters in each round, the average power, the number of nodes alive and average total
received data in base stations.
34 9141 it ns2-tentative route selection approach for edit septianIAESIJEECS
Wireless Sensor Networks (WSNs) assume a crucial part in the field of mechanization and control where detecting of data is the initial step before any automated job could be performed. So as to encourage such perpetual assignments with less vitality utilization proportion, clustering is consolidated everywhere to upgrade the system lifetime. Unequal Cluster-based Routing (UCR) [7] is a standout amongst the most productive answers for draw out the system lifetime and to take care of the hotspot issue that is generally found in equivalent clustering method. In this paper, we propose Tentative Route (TRS) Selection approach for irregular Clustered Wireless Sensor Networks that facilitates in decision an efficient next relay to send the data cumulative by Cluster Heads to the Base Station. Simulation analysis is achieved using the network simulator to demonstrate the effectiveness of the TRS method.
A Review of Atypical Hierarchical Routing Protocols for Wireless Sensor Networksiosrjce
IOSR Journal of Electronics and Communication Engineering(IOSR-JECE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of electronics and communication engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in electronics and communication engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Balancing Trade-off between Data Security and Energy Model for Wireless Senso...IJECEIAES
An extensive effort to evolve various routing protocol to ensure optimal data delivery in energy efficient way is beneficial only if there is additional means of security process is synchronized. However, the security process consideration introduces additional overhead thus a security mechanism is needed to accomplish an optimal trade-off that exists in-between security as well as resource utilization especially energy. The prime purpose of this paper is to develop a process of security in the context of wireless sensor networks (WSN) by introducing two types of sensor node deployed with different capabilities. The proposed algorithm Novel Model of Secure Paradigm (N-MSP) which is further integrated with WSN. However, this algorithm uses a Hash-based Message Authentication Code (HMAC) authentication followed by pairwise key establishment during data aggregation process in a WSN. The extensive simulation carried out in a numerical platform called MATLAB that depicts that the proposed N-MSP achieves optimal processing time along with energy efficient pairwise key establishment during data aggregation process.
Energy Proficient and Security Protocol for WSN: A Reviewtheijes
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An Energy Aware Routing to Optimize Route Selection in Cluster Based Wireless...ijtsrd
A Wireless Sensor Network WSN is an autonomous, self organizing, and self configuring network with the capability of speedy deployment anywhere. Internet of Things IoT nodes are use cloud storage to collect information from sensors and transfer it to other IoT nodes or networks via cloud services. Energy efficient communication is likely one of the main conversation factors in WSN, so efficient routing is critical to make use of full power consumption and enhance the network performance. This research proposes an Energy Aware Cluster based Wireless Sensor EACW routing protocol that optimizes route selection by clustering of nodes in a Wireless Sensor IoT network. However, one of the biggest problems to be handled is the energy wastage in transport. Limited energy is one of the prime concerns in WSN IoT and efficient routing is the primary focus to improve energy utilization, which increases the network performance. LEACH is an energy based protocol that works on a cluster based mechanism to make use of the energy efficiently. In this research, we compare the performance of the LEACH protocol with that of the reactive on demand protocol in order to make the most of the networks energy constraints. The proposed scheme shows that nodes have at most imprecise state information, mainly under strong link establishment. EACW routing selects optimizes routes higher energy base route resolution , generates clusters, and has power measurement of each cluster member and cluster head. LEACH chooses that specific node for data transmission so that work raises the reliability of communication. The efficiency of the proposed EACW protocol is compared with CBRW and the performance matrices like live nodes, throughput, overhead and CH and CB information. Apurva Anand | Dr. Sadhna K. Mishra "An Energy Aware Routing to Optimize Route Selection in Cluster Based Wireless Sensor-IoT Network (EACW)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-7 , December 2022, URL: https://www.ijtsrd.com/papers/ijtsrd52292.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-network/52292/an-energy-aware-routing-to-optimize-route-selection-in-cluster-based-wireless-sensoriot-network-eacw/apurva-anand
Cluster Head Selection Techniques for Energy Efficient Wireless Sensor Networ...ijsrd.com
Wireless sensor networks are widely considered as one of the most important technologies. The Wireless Sensor Network (WSN) is a wireless network consisting of ten to thousand small nodes with sensing, computing and wireless communication capabilities. They have been applied to numerous fields such as healthcare, monitoring system, military, and so forth. Recent advances in wireless sensor networks have led to many new protocols specifically designed for sensor networks where energy awareness is an essential consideration. Energy efficiency is thus a primary issue in maintaining the network. Innovative techniques that improve energy efficiency to prolong the network lifetime are highly required. Clustering is an effective topology control approach in wireless sensor networks. This paper elaborates several techniques like LEACH, HEED, LEACH-B, PEACH, EEUC of cluster head selection for energy efficient in wireless sensor networks.
A Review of Sensor Node in Wireless Sensor Networksijtsrd
Wireless Sensor Networks WSNs are collection of tiny sensor nodes capable of sensing, processing and broadcasting data correlated to some occurrence in the network area. The sensor nodes have severe limitation, such as bandwidth, short communication range, limited CPU processing facility, memory and energy. Enhancing the lifetime of wireless sensors network and efficient utilizations of bandwidth are essential for the proliferation of wireless sensor network in different applications. We provide an in depth study of applying wireless sensor networks WSNs to real world habitat monitoring. A set of system design requirements were developed that cover the hardware design of the nodes, the sensor network software, protective enclosures, and system architecture to meet the requirements of biologists. Although researchers anticipate some challenges arising in real world deployments of WSNs, many problems can only be discovered through experience. We present a set of experiences from a four month long deployment on a remote island. We analyze the environmental and node health data to evaluate system performance. The close integration of WSNs with their environment provides environmental data at densities previously impossible. We show that the sensor data is also useful for predicting system operation and network failures. Based on over one million data readings, we analyze the node and network design and develop network reliability profiles and failure models. Jobanputra Paresh Ashokkumar | Prof. Arun Jhapate ""A Review of Sensor Node in Wireless Sensor Networks"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23620.pdf
Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/23620/a-review-of-sensor-node-in-wireless-sensor-networks/jobanputra-paresh-ashokkumar
Hierarchical Coordination for Data Gathering (HCDG) in Wireless Sensor NetworksCSCJournals
A wireless sensor network (WSN) consists of large number of sensor nodes where each node operates by a finite battery for sensing, computing, and performing wireless communication tasks. Energy aware routing and MAC protocols were proposed to prolong the lifetime of WSNs. MAC protocols reduce energy consumption by putting the nodes into sleep mode for a relatively longer period of time; thereby minimizing collisions and idle listening time. On the other hand, efficient energy aware routing is achieved by finding the best path from the sensor nodes to the Base Sta-tion (BS) where energy consumption is minimal. In almost all solutions there is always a tradeoff between power consumption and delay reduction. This paper presents an improved hierarchical coordination for data gathering (HCDG) routing schema for WSNs based on multi-level chains formation with data aggregation. Also, this paper provides an analytical model for energy consumption in WSN to compare the performance of our proposed HCDG schema with the near optimal energy reduction methodology, PEGASIS. Our results demonstrate that the proposed routing schema provides relatively lower energy consumption with minimum delay for large scale WSNs.
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IMPROVEMENTS IN ROUTING ALGORITHMS TO ENHANCE LIFETIME OF WIRELESS SENSOR NET...IJCNCJournal
Wireless sensor network (WSN) brings a new paradigm of real-time embedded systems with limited
computation, communication, memory, and energy resources that are being used fora huge range of
applications. Clustering in WSNs is an effective way to minimize the energy consumption of sensor nodes.
In this paper improvements in various parameters are compared for three different routing algorithms.
First, it is started with Low Energy Adaptive Cluster Hierarchy (LEACH)which is a famed clustering
mechanism that elects a CH based on the probability model. Then, work describes a Fuzzy logic system
initiated CH selection algorithm for LEACH. Then Artificial Bee Colony (ABC)which is an optimisation
protocol owes its inspiration to the exploration behaviour of honey bees. In this study ABC optimization
algorithm is proposed for fuzzy rule selection. Then, the results of the three routing algorithms are
compared with respect to various parameters
FUZZY-CLUSTERING BASED DATA GATHERING IN WIRELESS SENSOR NETWORK ijsc
Wireless Sensor Networks (WSN) is spatially distributed, collection of sensor nodes for the purpose of
monitoring physical or environmental conditions, such as temperature, sound, pressure, etc. and to
cooperatively pass their data through the network to a base station. The critical challenge is to minimize
the energy consumption in data gathering and forwarding from sensor nodes to the sink. Cluster based
data aggregation is one of the most popular communication protocols in this field. Clustering is an
important procedure for extending the network lifetime in wireless sensor networks. Cluster Heads (CH)
aggregate data from relevant cluster nodes and send it to the base station. A main challenge in WSNs is to
select suitable CHs. Another communication protocol is based on a tree construction. In this protocol,
energy consumption is low because there are short paths between the sensors. In this paper, Dynamic
Fuzzy Clustering data aggregation is introduced. This approach is based on clustering and minimum
spanning tree. The proposed method initially uses fuzzy decision making approach for the selection of CHs.
Afterward a minimum spanning tree is constructed based on CHs. CHs are selected efficiently and
accurately. The combining clustering and tree structure is reclaiming the advantages of the previous
structures. Our method is compared to the well-known data aggregation methods, in terms of energy
consumption and the amount of energy residuary in each sensor network lifetime. Our method decreases
energy consumption of each node. When the best CHs selected and the minimum spanning tree is formed by
the best CHs, the remaining energy of the nodes will be preserved. Node lifetime has an important role in
WSN. Using our proposed data aggregation algorithm, survival of the network is improved
Data Dissemination in Wireless Sensor Networks: A State-of-the Art SurveyCSCJournals
A wireless sensor network is a network of tiny nodes with wireless sensing capacity for data collection processing and further communicating with the Base Station this paper discusses the overall mechanism of data dissemination right from data collection at the sensor nodes, clustering of sensor nodes, data aggregation at the cluster heads and disseminating data to the Base Station the overall motive of the paper is to conserve energy so that lifetime of the network is extended this paper highlights the existing algorithms and open research gaps in efficient data dissemination.
SECTOR TREE-BASED CLUSTERING FOR ENERGY EFFICIENT ROUTING PROTOCOL IN HETEROG...IJCNCJournal
One of the main challenges for researchers to build routing protocols is how to use energy efficiently to extend the lifespan of the whole wireless sensor networks (WSN) because sensor nodes have limited battery power resources. In this work, we propose a Sector Tree-Based clustering routing protocol (STB-EE) for Energy Efficiency to cope with this problem, where the entire network area is partitioned into dynamic sectors (clusters), which balance the number of alive nodes. The nodes in each sector only communicate with their nearest neighbour by constructing a minimum tree based on the Kruskal algorithm and using mixed distance from candidate node to base station (BS) and remaining energy of candidate nodes to determine which node will become the cluster head (CH) in each cluster? By calculating the duration of time in each round for suitability, STB-EE increases the number of data packets sent to the BS. Our simulation results show that the network lifespan using STB-EE can be improved by about 16% and 10% in comparison to power-efficient gathering in sensor information system (PEGASIS) and energy-efficient PEGASIS-based protocol (IEEPB), respectively.
GREEDY CLUSTER BASED ROUTING FOR WIRELESS SENSOR NETWORKSijcsit
In recent years, applications of wireless sensor networks have evolved in many areas such as target tracking, environmental monitoring, military and medical applications. Wireless sensor network continuously collect and send data through sensor nodes from a specific region to a base station. But, data redundancy due to neighbouring sensors consumes energy, compromising the network lifetime. In order to improve the network lifetime, a novel cluster based local route search method, called, Greedy Clusterbased Routing (GCR) technique in wireless sensor network. The proposed GCR method uses arbitrary timer in order to participate cluster head selection process with maximum neighbour nodes and minimum distance between the source and base station. GCR constructs dynamic routing improving the rate of network lifetime through Mass Proportion value. Also, GCR uses a greedy route finding strategy for
balancing energy consumption. Experimental results show that GCR achieves significant energy savings and prolong network lifetime.
Energy Consumption Reduction in Wireless Sensor Network Based on ClusteringIJCNCJournal
ABSTRACT
One of the important issues in the routing protocol design in Wireless Sensor Networks (WSNs) is minimizing energy consumption and maximizing network lift time. Nowadays networks and information systems are one of the main parts of modern life that without them, people cannot live. On the hand, the impairment of these networks leads to great and incalculable costs. In this paper, a new method based on clustering has presented that problem of energy consumption is solved. The proposed algorithm is that energy-based clustering can create clusters of the same energy level and distribute energy efficiency across the WNS nodes. This proposed clustering protocol classify network nodes based on energy and neighbourhood criteria and attempts to better balance energy in clusters and ultimately increase network lifetime and maintain network coverage. Results are shown that the proposed algorithm is on average 40% better than LEACH algorithm and 14% better than IBLEACH algorithm.
KEYWORDS
Wireless Sensor Network, Clustering, LEACH Algorithm, IBLEACH Algorithm
Abstract Link : http://aircconline.com/abstract/ijcnc/v11n2/11219cnc03.html
Full Details : http://aircconline.com/ijcnc/V11N2/11219cnc03.pdf
Review on Clustering and Data Aggregation in Wireless Sensor NetworkEditor IJCATR
Wireless Sensor Network is a collection of various sensor nodes with sensing and communication capabilities. Clustering is the
process of grouping the set of objects so that the objects in the same group are similar to each other and different to objects in the other
group. The main goal of Data Aggregation is to collect and aggregate the data by maintaining the energy efficiency so that the network
lifetime can be increased. In this paper, I have presented a comprehensive review of various clustering routing protocols for WSN, their
advantages and limitation of clustering in WSN. A brief survey of Data Aggregation Algorithm is also outlined in this paper. Finally, I
summarize and conclude the paper with some future directions
Data aggregation in wireless sensor network based on dynamic fuzzy clusteringcsandit
Wireless Sensor Networks (WSN) use a plurality of s
ensor nodes that unceasingly collected and
sent data from a specific area to a base station. C
luster based data aggregation is one of the
popular protocols in WSN. Clustering is an importan
t procedure for extending the network
lifetime in WSNs. Cluster Heads (CH) aggregate data
from relevant cluster nodes and send it to
the base station. A main challenge in WSNs is to se
lect suitable CHs. In another communication
protocol based on a tree construction, energy consu
mption is low because there are short paths
between the sensors. In this paper, we propose Dyna
mic Fuzzy Clustering (DFC) data
aggregation. The proposed method first uses fuzzy d
ecision making approach for the selection
of CHs and then a minimum spanning tree is construc
ted based on CHs. CHs are selected
efficiently and accurately. The combining clusterin
g and tree structure is reclaiming the
advantages of the previous structures. Our method i
s compared to Low Energy Adaptive
Clustering Hierarchy (LEACH), Cluster and Tree Dara
Aggregation (CTDA), Modified Cluster
based and Tree based Data Aggregation (MCTDA) and C
luster based and Tree based Power
Efficient Data Collection and Aggregation (CTPEDCA)
.Our method decreases energy
consumption of each node. In DFC data aggregation,
the node lifetime is increased and the
survival of the WSN is improved.
Congestion Control Clustering a Review PaperEditor IJCATR
Wireless Sensor Networks consists of sensor nodes which are scattered in the environment, gather data and transmit it to a
base station for processing. Energy conservation in the Wireless Sensor Networks (WSN) is a very important task because of their
limited battery power. The related works so far have been done have tried to solve the problem keeping in the mind the constraints of
WSNs. In this paper, a priority based application specific congestion control clustering (PASCCC) protocol has been studied, which
often integrates the range of motion and heterogeneity of the nodes to detect congestion in a very network. Moreover a comparison of
the various clustering techniques has been done. From the survey it has been found that none of the protocol is efficient for energy
conservation. Hence the paper ends with future scope to overcome these issues.
The novel applications of sensor networks impose some requirements in wireless sensor network design. With the energy efficiency and lifetime awareness, the throughput and network delayalso required to support emerging applications of sensor networks. In this paper, we propose
throughput and network delay aware intra-cluster routing protocol. We introduce the back-up links in the intra-cluster communication path. The link throughput, communication delay, packet loss ratio, interference, residual energy and node distance are the considered factors in finding efficient path of data communication among the sensor nodes within the cluster. The
simulation result shows the higher throughput and lower average packet delay rate for the proposed routing protocol than the existing benchmarks. The proposed routing protocol also shows energy efficiency and lifetime awareness with better connectivity rate.
ENERGY SAVINGS IN APPLICATIONS FOR WIRELESS SENSOR NETWORKS TIME CRITICAL REQ...IJCNCJournal
Along with handling and poor storage capacity, each sensor in wireless sensor network (WSN) is equipped
with a limited power source and very difficult to be replaced in most application environments. Improving
the energy savings in applications for wireless sensor networks is necessary. In this paper, we mainly focus
on energy consumption savings in applications for wireless sensor networks time critical requirements. Our
Paper accompanying analysis of advanced technologies for energy saving techniques for the optimization
of energy efficiency together with the data transmission is optimal. Moreover, we propose improvements to
increase energy savings in applications for wireless sensor networks require time critical (LEACH
improvements). Simulation results show that our proposed protocol significantly better than LEACH about
the formation of clusters in each round, the average power, the number of nodes alive and average total
received data in base stations.
34 9141 it ns2-tentative route selection approach for edit septianIAESIJEECS
Wireless Sensor Networks (WSNs) assume a crucial part in the field of mechanization and control where detecting of data is the initial step before any automated job could be performed. So as to encourage such perpetual assignments with less vitality utilization proportion, clustering is consolidated everywhere to upgrade the system lifetime. Unequal Cluster-based Routing (UCR) [7] is a standout amongst the most productive answers for draw out the system lifetime and to take care of the hotspot issue that is generally found in equivalent clustering method. In this paper, we propose Tentative Route (TRS) Selection approach for irregular Clustered Wireless Sensor Networks that facilitates in decision an efficient next relay to send the data cumulative by Cluster Heads to the Base Station. Simulation analysis is achieved using the network simulator to demonstrate the effectiveness of the TRS method.
A Review of Atypical Hierarchical Routing Protocols for Wireless Sensor Networksiosrjce
IOSR Journal of Electronics and Communication Engineering(IOSR-JECE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of electronics and communication engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in electronics and communication engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Balancing Trade-off between Data Security and Energy Model for Wireless Senso...IJECEIAES
An extensive effort to evolve various routing protocol to ensure optimal data delivery in energy efficient way is beneficial only if there is additional means of security process is synchronized. However, the security process consideration introduces additional overhead thus a security mechanism is needed to accomplish an optimal trade-off that exists in-between security as well as resource utilization especially energy. The prime purpose of this paper is to develop a process of security in the context of wireless sensor networks (WSN) by introducing two types of sensor node deployed with different capabilities. The proposed algorithm Novel Model of Secure Paradigm (N-MSP) which is further integrated with WSN. However, this algorithm uses a Hash-based Message Authentication Code (HMAC) authentication followed by pairwise key establishment during data aggregation process in a WSN. The extensive simulation carried out in a numerical platform called MATLAB that depicts that the proposed N-MSP achieves optimal processing time along with energy efficient pairwise key establishment during data aggregation process.
Energy Proficient and Security Protocol for WSN: A Reviewtheijes
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An Energy Aware Routing to Optimize Route Selection in Cluster Based Wireless...ijtsrd
A Wireless Sensor Network WSN is an autonomous, self organizing, and self configuring network with the capability of speedy deployment anywhere. Internet of Things IoT nodes are use cloud storage to collect information from sensors and transfer it to other IoT nodes or networks via cloud services. Energy efficient communication is likely one of the main conversation factors in WSN, so efficient routing is critical to make use of full power consumption and enhance the network performance. This research proposes an Energy Aware Cluster based Wireless Sensor EACW routing protocol that optimizes route selection by clustering of nodes in a Wireless Sensor IoT network. However, one of the biggest problems to be handled is the energy wastage in transport. Limited energy is one of the prime concerns in WSN IoT and efficient routing is the primary focus to improve energy utilization, which increases the network performance. LEACH is an energy based protocol that works on a cluster based mechanism to make use of the energy efficiently. In this research, we compare the performance of the LEACH protocol with that of the reactive on demand protocol in order to make the most of the networks energy constraints. The proposed scheme shows that nodes have at most imprecise state information, mainly under strong link establishment. EACW routing selects optimizes routes higher energy base route resolution , generates clusters, and has power measurement of each cluster member and cluster head. LEACH chooses that specific node for data transmission so that work raises the reliability of communication. The efficiency of the proposed EACW protocol is compared with CBRW and the performance matrices like live nodes, throughput, overhead and CH and CB information. Apurva Anand | Dr. Sadhna K. Mishra "An Energy Aware Routing to Optimize Route Selection in Cluster Based Wireless Sensor-IoT Network (EACW)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-7 , December 2022, URL: https://www.ijtsrd.com/papers/ijtsrd52292.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-network/52292/an-energy-aware-routing-to-optimize-route-selection-in-cluster-based-wireless-sensoriot-network-eacw/apurva-anand
Cluster Head Selection Techniques for Energy Efficient Wireless Sensor Networ...ijsrd.com
Wireless sensor networks are widely considered as one of the most important technologies. The Wireless Sensor Network (WSN) is a wireless network consisting of ten to thousand small nodes with sensing, computing and wireless communication capabilities. They have been applied to numerous fields such as healthcare, monitoring system, military, and so forth. Recent advances in wireless sensor networks have led to many new protocols specifically designed for sensor networks where energy awareness is an essential consideration. Energy efficiency is thus a primary issue in maintaining the network. Innovative techniques that improve energy efficiency to prolong the network lifetime are highly required. Clustering is an effective topology control approach in wireless sensor networks. This paper elaborates several techniques like LEACH, HEED, LEACH-B, PEACH, EEUC of cluster head selection for energy efficient in wireless sensor networks.
A Review of Sensor Node in Wireless Sensor Networksijtsrd
Wireless Sensor Networks WSNs are collection of tiny sensor nodes capable of sensing, processing and broadcasting data correlated to some occurrence in the network area. The sensor nodes have severe limitation, such as bandwidth, short communication range, limited CPU processing facility, memory and energy. Enhancing the lifetime of wireless sensors network and efficient utilizations of bandwidth are essential for the proliferation of wireless sensor network in different applications. We provide an in depth study of applying wireless sensor networks WSNs to real world habitat monitoring. A set of system design requirements were developed that cover the hardware design of the nodes, the sensor network software, protective enclosures, and system architecture to meet the requirements of biologists. Although researchers anticipate some challenges arising in real world deployments of WSNs, many problems can only be discovered through experience. We present a set of experiences from a four month long deployment on a remote island. We analyze the environmental and node health data to evaluate system performance. The close integration of WSNs with their environment provides environmental data at densities previously impossible. We show that the sensor data is also useful for predicting system operation and network failures. Based on over one million data readings, we analyze the node and network design and develop network reliability profiles and failure models. Jobanputra Paresh Ashokkumar | Prof. Arun Jhapate ""A Review of Sensor Node in Wireless Sensor Networks"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd23620.pdf
Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/23620/a-review-of-sensor-node-in-wireless-sensor-networks/jobanputra-paresh-ashokkumar
AggreLEACH: Enhance Privacy Preserving in Wireless Sensor Networkijsrd.com
Privacy preservation is an important issue in today's context of extreme penetration of internet and mobile technology. It is more important in the case of wireless sensor network where collected data often requires in network processing and collaborative computing. Security is always booming in wireless sensor network. Privacy preserving data aggregation emerged as an important concern in designing data aggregation algorithm. Encryption schemes that support operation over cipher text are of utmost for wireless sensor networks & especially in LEACH protocol. The salient limit of LEACH is energy. Due to this limitation, it seems important to design Confidentiality scheme for WSN so that sensing data can be transmitted to the receiver securely and efficiently and the energy consumed must be minimum hence we proposed AggreLEACH in which confidentiality scheme i.e. holomorphic encryption is added to LEACH protocol. In holomorphic encryption data can be aggregated without decryption and hence less energy consumption. The objective is to provide secure data transmission between sensor node and aggregator. Simulation result are obtain in terms of two metrics- total energy Consumed of node, life-time of node. It is observed that the performance of AggreLEACH compare to LEACH. We have performed theoretical analysis as well as simulation to check the performance in terms of accuracy, complexity and security.
Energy Efficient Techniques for Data aggregation and collection in WSNIJCSEA Journal
A multidisciplinary research area such as wireless sensor networks (WSN) have been invoked the monitoring of remote physical environment and are used for a wide range of applications ranging from defense personnel to many scientific research, statistical application, disaster area and War Zone. These networks are constraint with energy, memory and computing power enhance efficient techniques are needed for data aggregation, data collection, query processing, decision making and routing in sensor networks. The problem encountered in the recent past was of the more battery power consumption as activity increases, need more efficient data aggregation and collection techniques with right decision making capabilities. Therefore, this paper proposed the efficient and effective architecture and mechanism of energy efficient techniques for data aggregation and collection in WSN using principles like global weight calculation of nodes, data collection for cluster head and data aggregation techniques using data cube aggregation.
E FFICIENT E NERGY U TILIZATION P ATH A LGORITHM I N W IRELESS S ENSOR...IJCI JOURNAL
With limited amount of energy, nodes are powered by
batteries in wireless networks. Increasing the lif
e
span of the network and reducing the usage of energ
y are two severe problems in Wireless Sensor
Networks. A small number of energy utilization path
algorithms like minimum spanning tree reduces tota
l
energy consumption of a Wireless Sensor Network, ho
wever very heavy load of sending data packets on
many key nodes is used with the intention that the
nodes quickly consumes battery energy, by raising t
he
life span of the network reduced. Our proposal work
aimed on presenting an Energy Conserved Fast and
Secure Data Aggregation Scheme for WSN in time and
security logic occurrence data collection
application. To begin with, initially the goal is m
ade on energy preservation of sensed data gathering
from
event identified sensor nodes to destination. Inven
tion is finished on Energy Efficient Utilization Pa
th
Algorithm (EEUPA), to extend the lifespan by proces
sing the collecting series with path mediators
depending on gene characteristics sequencing of nod
e energy drain rate, energy consumption rate, and
message overhead together with extended network lif
e span. Additionally, a mathematical programming
technique is designed to improve the lifespan of th
e network. Simulation experiments carried out among
different relating conditions of wireless sensor ne
twork by different path algorithms to analyze the
efficiency and effectiveness of planned Efficient E
nergy Utilization Path Algorithm in wireless sensor
network (EEUPA)
Maximizing Lifetime of Homogeneous Wireless Sensor Network through Energy Eff...CSCJournals
The objective of this paper is to develop a mechanism to increase the lifetime of homogeneous wireless sensor networks (WSNs) through minimizing long range communication, efficient data delivery and energy balancing. Energy efficiency is a very important issue for sensor nodes which affects the lifetime of sensor networks. To achieve energy balancing and maximizing network lifetime we divided the whole network into different clusters. In cluster based architecture, the role of aggregator node is very crucial because of extra processing and long range communication. Once the aggregator node becomes non functional, it affects the whole cluster. We introduced a candidate cluster head node on the basis of node density. We proposed a modified cluster based WSN architecture by introducing a server node (SN) that is rich in terms of resources. This server node (SN) takes the responsibility of transmitting data to the base station over longer distances from the cluster head. We proposed cluster head selection algorithm based on residual energy, distance, reliability and degree of mobility. The proposed method can save overall energy consumption and extend the lifetime of the sensor network and also addresses robustness against even/uneven node deployment.
Data Security and Data Dissemination of Distributed Data in Wireless Sensor N...IJERA Editor
A data dissemination protocol for wireless sensor networks has been engaged for modifying configuration fields and circulating management controls to the mote. Earlier, a data dissemination protocol faces the henceforth two consequences. First, they are works on sink based model; only the sink can circulate data item to other motes. Such model is not suitable for large user wireless sensor networks. Second, those protocols are not provide with any security and hence intruders will make problems to misuse the network. We provided the seDrip protocol. It allows the network mentors to authorize multiple network uses with various permissions to simultaneously and directly distributed data items to the mote. seDrip is implemented in an laboratory of network restricted resources mote to depict its large capability in practice.
The rapid need of wireless demands a great deal of security and reliable routing in order to keep all the data sources and equipments secure. In order to develop efficient and robust protocols, it is essential to understand the inherent characteristics of wireless networks such as connectivity, coverage and varying channel conditions. Wireless LAN introduces the concept that use can connect to any one at any place at anytime by using various mobile appliances that can be carried at any place. Now Communication is no longer limited to a one place by holding wired phones. This is the big boom to the I.T industry but it also brings a lot of opportunities and challenges for the Network Administrator who is looking after the Wireless LANs (WLAN). WLAN traffic travels over radio waves that cannot be constrained by the walls or any Simranjeet Kaur"Reliable and Efficient Routing in WLAN" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-6 , October 2017, URL: http://www.ijtsrd.com/papers/ijtsrd3585.pdf http://www.ijtsrd.com/computer-science/computer-network/3585/reliable-and-efficient-routing-in-wlan/simranjeet-kaur
A Cooperative Cache Management Scheme for IEEE802.15.4 based Wireless Sensor ...IJECEIAES
Wireless Sensor Networks (WSNs) based on the IEEE 802.15.4 MAC and PHY layer standards is a recent trend in the market. It has gained tremendous attention due to its low energy consumption characteristics and low data rates. However, for larger networks minimizing energy consumption is still an issue because of the dissemination of large overheads throughout the network. This consumption of energy can be reduced by incorporating a novel cooperative caching scheme to minimize overheads and to serve data with minimal latency and thereby reduce the energy consumption. This paper explores the possibilities to enhance the energy efficiency by incorporating a cooperative caching strategy.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
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1. PERFORMANCE EVALUATION OF SECURE
DATA TRANSMISSION IN WIRELESS
SENSOR NETWORK USING IEEE 802.11X
STANDARDS
Presented by:
Sunny Sall
Department of Information
Technology
Under Guidance
Dr. Rajesh Bansode
(H.O.D)
Department of Information
Technology
Registration No. & Date: 18/18-12-2019
2. Presentation Outline
I. Introduction
II. Motivation
III. Proposed Methodology
IV. Research Objectives
V. Scope
VI. Problem Statement
VII. General outline of Hypothesis
VIII. Literature Survey
IX. Problem Definition( from
Research Gaps and Findings)
X. Tools and Dataset Required
XI. Expected Outcomes
XII. Discussion on Published
Results
XIII. Timeline for Research work
XIV. Conclusion
XV. Publications related to work
References
3. I. Introduction
• The evolution of Wireless
Communication techniques from
1G to 4G, showing the data rate
against mobility/ coverage.
• It shows unlicensed/ licensed,
Circuit/ packet switched, spectral
efficiency, Wi-Fi, Blue tooth, Wi-
Max.
• The inference from Figure 1,
indicates that the Mobility in
terms of outdoor, indoor can be
observed through 4G and beyond
heterogeneous Networks (5G).
Figure 1: Evolution of Wireless Technology
A Survey of 5G Network: Architecture and Emerging Technologies by Akhil Gupta in IEEE Access vol. 3, August 2015
4. II. Motivation
• In Figure 2, it is observed
that in the year 2020 the
graph has reached up to 21
billion Mobile to Mobile
Connections.
• And by 2022 this is
expected to reach
approximately 26 billion
and that is the motivation.
Figure 2: Number of Machine to Machine Connection in
Mobile
A Survey of 5G Network: Architecture and Emerging Technologies by Akhil Gupta in IEEE Access vol. 3, August 2015
5. III. Proposed Methodology
• Figure 3, presents an example of
Cluster Based Data Aggregation [6].
• In Cluster Based Data Aggregation,
sensor nodes are subdivided into
clusters.
• Cluster heads can communicate with
the sink directly via long range radio
transmission.
• Thus, cluster heads usually form a
tree structure to transmit aggregated
data by multi hopping through other
cluster heads which results in
significant energy savings.
Figure 3: Cluster Based Data Aggregation
6. IV. Research Objectives
• The work is to be carried out with following objectives as mentioned
below.
a) To enhance the network lifetime in Wireless Sensor Network (WSN).
PHASE III
b) To design and develop an approach for Cluster Head (CH). PHASE I
DEC 2019 Completed Implementation and published.
c) Design and develop a suitable data aggregation technique when data
transmission. PHASE II JUN 2020 Implementation in process.
d) To design Broadcast Tree Construction (BTC) for energy conservation
protocol during data transmission. PHASE III
e) To develop secure HMAC technique for authentication. PHASE IV
f) To validate the proposed system performance evaluation. PHASE IV
7. V. Scope
• Data aggregation is done using priority of packet type like
normal, high, low etc.
• The data transmission packet size is 512 kbps using CBR, TCP
and FTP traffic.
• The system analysis is done using packet throughput 620 bps,
communication cost 750 bps, transmission energy 60 Joules,
receiving energy 42 Joules based on given parameters.
• The proposed protocols effectiveness has measure with various
energy consumption and conservation protocols, like AODV,
DSDV, DSR etc.
• Each node we set random energy between (100-3000 Joules)
and each node having 500 m circular radius.
8. • Based on Protocols, designer can decide their best
optimized Secure WLAN infrastructure.
• Here, one can analyse the effectiveness of such solution,
based on measurement of network life time and energy
consumption implementation.
• Evaluating the performance of Data Transmission in WSN
for various 802.11x standards, would be a foreseeable
extension to this work.
• There are several areas of potential future work in this area
that could be explored.
V. Scope
9. VI. Problem Statement
• The research gaps addressed from literature survey table
resulting into design and develop a system for energy
conservation protocol in Wireless Sensor Network (WSN).
This is to eliminate the network data overhead using data
aggregation mechanism. The authentication system generally
deals with Hash Mandatory Access Control (HMAC)
protocol to prevent the various network attacks.
10. VII. General Outline of Hypothesis
• Design and Development of a system for energy conservation protocol in
Wireless Sensor Network (WSN), with eliminating the network data
overhead using data aggregation technique.
• To provide defence mechanism from various network attacks in untrusted
network environment.
• How to select Cluster Head?
• How to Enhance Security?
• How to minimise Energy Consumption?
• How to improve Network Life Time?
• How to perform Data Aggregation?
• How to minimise Data loss and Data leakage?
• How to minimise Network Overheads?
11. VIII. Literature Survey
Ref. No. Authors and Title Method Used Key Findings Research Gaps
[1] Firoj Ahamad and Rakesh Kumar
Energy Efficient Region Based
Clustering Algorithm for WSN using
Fuzzy Logic
Provides an approach to prolong
the WSN lifetime using fuzzy logic
based selection of cluster head that
provides completely non
probabilistic approach.
Use multi hop for data
transmission which
eliminates packets loss
issues
Every round CH selection
consumes higher energy
that generate lifetime loss
issues
Low data transmission
rates.
High computation when
data size is large
[2] I.S. AKILA AND R. VENKATESAN
A Fuzzy Based Energy-aware Clustering
Architecture for Cooperative
Communication in WSN
Cluster Head (CH) is chosen based
on the parameters residual energy,
using Partial Swarm Optimization
(PSO) trust, signal-to-interference-
plus-noise ratio and load.
Proposed technique
Enhances the network
lifetime and energy
efficiency.
[3] Wael Y. Alghamdi, Hui Wu, Salil S.
Kanhere
Reliable and Secure End-to-End Data
Aggregation Using Secret Sharing in
WSNs
Reliable and Secure End-to-End
Data Aggregation Using Secret
Sharing in WSNs
Data aggregation eliminates
the network overhead
12. Ref. No. Authors and Title Method Used Key Findings Research Gaps
[4] OZDEMIR et. Al.
Energy Efficient & Secured
Data Routing Through
Aggregation Node in WSN
Detect the attack on all nodes including cluster
member, cluster head and aggregator node as
well as checks data truthfulness on cluster
head when data is received from all cluster
members. SHA1 algorithm is used for
integrity checking
improves the energy
utilization, memory
management
and security of data along
with attack detection on CH.
It can’t recover the
compromised node and use
it again in the
Network instead of leaving
it.
Time complexity higher
than traditional LEACH
System does not reflect how
better for time complexity
that traditional approaches.
[5] Basavaraj G. N, Dr. Jaidhar
C.D
H-LEACH Protocol with
Modified Cluster Head
selection for WSN
A new threshold condition
T (n) for electing Cluster Heads (CHs) among
the Sensor Nodes (SNs).
Provides balancing or
efficient energy
management
[6] T M Behera, S K Mohapatra,
Proshikshya Mukherjee, H K
Sahoo
Work-In-Progress: DEEC-
VD: A Hybrid Energy
Utilization Cluster-based
Routing Protocol for WSN for
application in IoT
DEEC-VD not only uses cluster and active
cluster head forming with the help of vector
quantization but also it uses Dijkstra
Algorithm to find the shortest path between
the active cluster heads (CHs) to provide high
energy utilization.
Improves the average
energy
Utilization of the network
has increased to almost
60%.
VIII. Literature Survey
13. Ref. No. Authors and Title Method Used Key Findings Research Gaps
[7] Dhiviya.S, Sariga A Dr. P. Sujata
SURVEY ON WSN USING
CLUSTERING
The survey on a distinct clustering
algorithm for WSN which is classified
based on distinct clustering attributes
Describes the strategy of
clustering to eliminate data
leakage
Not implemented in real
time environment
Data reduction issues has
generated
Generate high time
complexity for encryption
and decryption.
[8] Abhay Gupta, Narendra Shekokar
A Novel K-Means L-Layer
Algorithm for uneven Clustering
in WSN
A modification of the K Means
algorithm which provides even
clustering as well as the study of
energy consumption of the nodes with
regards to the data packet optimization.
This system provides energy
consumption of the nodes with
regards to the data packet
optimization.
[9] K. Hamsha and Nagaraja G.S
Analysis of Security Mechanism
Using Threshold Cryptography
for Hierarchical Wireless Sensor
Networks
The Sink node shares the secret group
key to the entire sensor node in the
network. Threshold cryptography
protects the shared key by malicious or
intruder node in the network.
Threshold cryptography has
used for data encryption
VIII. Literature Survey
14. Ref. No. Authors and Title Method Used Key Findings Research Gaps
[10] Yasha Istwal, Shashi Kant Verma
DUAL CLUSTER HEAD
ROUTING PROTOCOL IN
WSN
DCHRP (Dual Cluster Head Routing
Protocol) having dual cluster head with
three level of heterogeneity to improve
the life span of a Wireless Sensor
Network (WSN).
Proposed routing approach
provides dual CH for routing.
Dual CH creation takes high
computation
This protocol takes link
reliability into account when
forming clusters.
Evolutionary optimization
algorithm has used which
increased the delay.
[11] Wang Jin, Wang Bin
Adaptive clustering approach
over unreliable links for WSN
Design an energy-efficient cluster
forming protocol for WSN based on
relative difference between energy level
of an ordinary node and its cluster head
node in the previous round.
System unreliable links can
prolong network lifetime when
compared with other energy-
efficient clustering protocol for
WSN.
[12] Jingyi Wang ,Yuhao Jing,
Xiaotong Zhang , Hongying Bai
Clustering Protocol based on
Immune Optimization Algorithms
for Wireless Sensor Networks
Immune Optimization Algorithms to
reduce the total transmission distance of
the whole network by choosing the
appropriate nodes as cluster heads in
WSN.
CH selection base optimization
technique which reduces time.
VIII. Literature Survey
15. Ref. No. Authors and Title Method Used Key Findings Research Gaps
[13] Mukesh Mishra, Gourab sen
Gupta, Xiang Gui
A review of and a proposal for
cross-layer design for efficient
routing and secure data
aggregation over WSN
A review of and a proposal for cross-
layer design for efficient routing and
secure data aggregation over WSN
Secure data aggregation which
improves the data security.
Less security during data
transmission.
No attack detection
mechanism has used.
Only DOS based attack has
detected not others.
[14] Priyanka Nehra, A. Nagaraju
Fault Tolerance using Quadratic-
Minimum Spanning Tree (Q-
MST) with Secure Data
Aggregation in Wireless Sensor
Networks
Transmission of data along with the
integration of two-hop mechanism
which is Secure and Efficient protocol
for Data Aggregation in wireless sensor
Networks (SEDAN) is used.
MST algorithm provides
execution in minimum time
execution
[15] P.Padmaja
Dr. G. V. Marutheswar
DETECTION OF MILICIOUS
NODE IN WIRELESS SENSOR
NETWORK
Optimization Wireless Sensor Network
(WSN) is necessary to reduce
redundancy and energy consumption.
Eliminates the energy
consumption.
VIII. Literature Survey
16. Ref. No. Authors and Title Method Used Key Findings Research Gaps
[16] Madiha Razzaq, Devarani Devi
Ningombam, Seokjoo Shin
Energy Efficient K-means
Clustering-based Routing
Protocol for WSN Using Optimal
Packet Size
An energy efficient K-means clustering-
based routing protocol and considers an
optimal fixed packet size according to the
radio parameters and channel conditions of
the transceiver.
Clustering techniques has
used to eliminate high
packet overhead.
Time complexity issues.
Reduce throughput and
packet loss ratio.
Generate congestion when
large data.
[17] J. S. Saji Kumar,Elizabeth Sherly,
A New Hybrid Algorithm for
Tolerating Security Threats in
Wireless Sensor Networks
The proposed model of MRM, H-PAL-
PLR, and HOL-5-DAS has been proved to
be efficient in case of link or node failure,
packet loss and latency respectively.
High packet delivery ratio,
network
life time, throughput,
latency ratio and packet
loss ratio
Parameters
[18] Marwa Sharawi, Eid Emary
Impact of Grey Wolf
Optimization on WSN Cluster
Formation and Lifetime
Expansion
The introduced system outperforms the
LEACH in almost all topologies using the
different indicators.
Fast approach for cluster
generation in large network
VIII. Literature Survey
17. Ref. No. Authors and Title Method Used Key Findings Research Gaps
[19] Limin Shen, Jianfeng Ma,
Ximeng Liu, Fushan Wei and
Meixia Miao
A Secure and Efficient ID-Based
Aggregate Signature Scheme for
Wireless Sensor Networks
The security of our identity-based aggregate
signature scheme is rigorously presented
based on the computational Diffie-Hellman
assumption in random oracle model.
ID based signature
eliminate certificate
verification as long process.
Third party resource
required for ID signature
generation
Overhead generate during
data transmission.
Collusion attack has
generates from various
attacks.
[20] Ravi Teja, Dr. S. Indu
A Priority Based WSN Clustering
of Multiple Sinl( Scenario using
Artificial Bee Colony Algorithm
An energy efficient as well as a priority based
wireless sensor network clustering and routing
algorithm for a multiple sink scenario using
Artificial Bee Colony Optimization with a
multi objective fitness function which takes
into account the priority of each sink.
ABCA has used for
efficient clustering.
[21] Scott A. Thompson Jr. and
Bharath K. Samanthula
Optimized Secure Data
Aggregation in Wireless Sensor
Networks
A novel solution for the secure aggregation of
data in WSNs based on probabilistic
homomorphic encryption. By combining with
a unique encoding function, proposed solution
guarantees the privacy of sensor data, while
also greatly reducing communication costs.
Two way encoding has used
which provide highest
security.
VIII. Literature Survey
18. IX. Problem Definition (Derived from Research
Gaps & Findings)
• Large data transmission should generate network overhead
during data transmission and it produces data leakage issues.
• Trust calculation of individual node in next hop selection is
not considered in excising systems.
• No backup path provided in existing WSN when internal or
external attack is generated.
• Many nodes are destroyed when high power is consumed by
internal nodes, it create a cut in network thus data is loosed
which can’t be recovered by systems.
19. X. Tools and Data set Required
• Software:
• Ubuntu
• VM Ware
• NS2
• Hardware:
• PC with Minimum Configuration
20. XI. Expected Outcomes
• Energy consumption and energy modelling are important issues in designing and
implementing of Wireless Sensor Networks (WSNs), which help the designers to
optimize the energy consumption in WSN nodes. Good knowledge of the sources of
energy consumption in WSNs is the first step to reduce energy consumption [19].
a) To enhance the network lifetime in WSN using cluster network and reduce data
transmission time as well as enhance the QoS. PHASE III
b) To design and develop an approach for cluster head (CH) selection using evolutionary
based Genetic Algorithm (GA). PHASE I DEC 2019 Completed and published
c) Design and develop a suitable data aggregation technique when data transmission
using MAC protocol. PHASE II JUN 2020
d) To design Broadcast Tree Construction (BTC) based sleep scheduling approach for
energy conservation protocol during data transmission. PHASE III
e) To develop secure HMAC technique for authentication with secure manner. PHASE
IV
f) To validate the proposed system performance evaluation with traditional existing
approaches. PHASE IV
22. XII. Discussion on Published Results
• Default cluster generation Cluster head generation
23. XII. Discussion on Published Results
• CH moves to central location Communication between sensor
node and CH
24. • This figure 4, will provide the drop rate overall simulation during the
communication with other protocols.
• This figure 5, will provide the throughput of system during the
communication with other protocols.
• This figure 6, will provide the how system will increased the actual
time percentage of simulation due to proposed energy conservation
protocol.
• There is a decrease in drop rate by 2%, the throughput has
increased by 3%. Also Network Lifetime has increased to 8 seconds
as compared to 2 seconds in other systems.
XII. Discussion on Published Results
Figure 4: Drop rate of proposed vs existing Figure 5: Throughput of proposed vs existing
Figure 6: Network lifetime of proposed vs existing
25. XII. Discussion on Published Results
Parameter Values
Simulator NS-allinone 2.35
Simulation time 25 sec
Channel Type Wireless Channel
Propagation Model Two Ray Ground
Standard MAC/802.11
Simulation Size 1000 *1500
Max packet Length 1000
Ad hoc routing AODV
Traffic CBR
Parameters WSN [21] Proposed (cluster base with
AODV)
Data Aggregation No Yes
Data Security Yes (selective) Yes
Energy Conservation No Yes
Packet Loss High Low
End to End delay High Low
Packet Overhead High Low
Table 1: Simulation Parameters used
Table 2: Difference between the Proposed and existing WSN
26. XII. Discussion on Published Results
Most of existing system having high packet drop rate due to
heavy network overhead.
Various security approaches not able to provides drastic security
during data transmission.
Cut generation is another problem in existing systems. (it is the
concept in which any internal node automatically gets destroyed
during data transmission due to energy).
Need to propose an lightweight data transmission with secure
approach in large scale WSN.
27. XIII. Timeline for Research work
To design and develop an approach for cluster head (CH) selection using evolutionary
based Genetic Algorithm (GA). PHASE I DEC 2019 Completed and published
Design and develop a suitable data aggregation technique when data transmission using
MAC protocol. PHASE II JUN 2020
To enhance the network lifetime in WSN using cluster network and reduce data
transmission time as well as enhance the QoS. PHASE III A SEPT 2020
To design Broadcast Tree Construction (BTC) based sleep scheduling approach for
energy conservation protocol during data transmission. PHASE III B DEC 2020
To develop secure HMAC technique for authentication with secure manner. PHASE IV
A MAR 2021
To validate the proposed system performance evaluation with traditional existing
approaches. PHASE IV B JUN 2021
28. XIV. Conclusion
• We have proposed a HMAC and data aggregation in WSN. Initially the
CHs are chosen based on the node connectivity, which acts as a Data
Aggregator. Then, the clustering process is executed using the genetic
algorithm. This technique highly minimizes energy consumption and
thereby enhancing the network lifetime [20].
• When the cluster member wants to transmit data to the aggregator, a data
encryption techniques are utilized. The data security module utilized offers
confidentiality to the data packets, thus ensuring the authenticity and
integrity of the sensed data.
• Simulation results, shows that the proposed technique minimizes the
energy consumption, ensures data security and reduces the transmission
overhead [21].
29. XV. Publication related to work
• A Paper submitted and presented in IC-ICN Multicon- W 2020
conference in February 2020 at TCET.
• Also submitted in Springer through IC-ICN Multicon- W 2020
• Status: accepted in Springer
• Title: “Secure Data Aggregation and data Transmission using HMAC
Protocol in Cluster base Wireless Sensor Network”
30. Courses Completed
• Completed course on “Wireless Communication Emerging Technologies”,
offered by Yonsei University through Coursera on 15 June 2018.
• Attended the PMMMNMTT Sponsered One Week FDP on “Cyber Security”
at Atharva College of Enginnering from 3 to 8 Sept. 2019.
• Attended the Webinar on “IoT for Music Theropy, Research Paper Writing,
Gateway to Cyber Security” at St. John College of Enginnering from 24 to 28
May 2020.
• Attended the Webinar on “Usage of Technology in COVID 19” at Terna
College of Enginnering from 28 May to 2 June 2020.
31. References
[1] F. Ahamad, R. Kumar, “Energy Efficient Region Based Clustering Algorithm for WSN using Fuzzy Logic”, IEEE
International Conference on Recent Trends In Electronics Information Communication Technology, May 20-21, India,
2016.
[2] I. S. Akila, R. Venkateshan, “A Fuzzy Based Energy-aware Clustering Architecture for Cooperative Communication
in WSN”, The Computer Journal Advance Access published September 12, 2016.
[3] ALGHAMDI, Wael Y.; WU, Hui; KANHERE, Salil S. Reliable and secure end-to-end data aggregation using secret
sharing in wsns. In: 2017 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2017. p. 1-6.
[4] OZDEMIR, Suat; ÇAM, Hasan. Integration of false data detection with data aggregation and confidential
transmission in wireless sensor networks. IEEE/ACM Transactions on networking, 2009, 18.3: 736-749..
[5] G. Basavraj, Dr. C. Jaidhar, “H-LEACH Protocol with Modified Cluster Head Selection for WSN”, International
Conference on Smart Technology for Smart Nation, 2017
[6] T M Behera, S K Mohapatra, Proshikshya Mukherjee, H K Sahoo, “Work-In-Progress: DEEC-VD: A Hybrid Energy
Utilization Cluster-based Routing Protocol for WSN for application in IoT”, International Conference on Information
Technology, 2017.
[7] Dr. P. Sujatha, “SURVEY ON WSN USING CLUSTERING”, Second International Conference on Recent Trends and
Challenges in Computational Models, 2017
[8] A. Gupta, “A Novel K-Means L-Layer Algorithm for uneven Clustering in WSN”, IEEE International Conference on
Computer, Communication, and Signal Processing, 2017.
[9] K. Hamsha, “Analysis of Security Mechanism Using Threshold Cryptography for Hierarchical Wireless Sensor
Networks”, International Conference on Communication and Signal Processing, April 6-8, India, 2017.
[10] ISTWAL, Yasha; VERMA, Shashi Kant. Dual cluster head routing protocol in WSN. In: 2017 8th International
Conference on Computing, Communication and Networking Technologies (ICCCNT). IEEE, 2017. p. 1-6.
32. References
[11] W. Jin,” Adaptive clustering approach over unreliable links for WSN”, IEEE 13th International Conference on
Electronic Measurement & Instruments, 2017.
[12] J. Wang, “Clustering Protocol based on Immune Optimization Algorithms for Wireless Sensor Networks”, 2nd IEEE
International Conference on Computer and Communications, 2016.
[13] MISHRA, Mukesh; GUPTA, Gourab Sen; GUI, Xiang. A review of and a proposal for cross-layer design for
efficient routing and secure data aggregation over WSN. In: 2017 3rd International Conference on Computational
Intelligence and Networks (CINE). IEEE, 2017. p. 120-125.
[14] NEHRA, Priyanka; NAGARAJU, A. Fault Tolerance using Quadratic-Minimum Spanning Tree (Q-MST) with
Secure Data Aggregation in Wireless Sensor Networks. In: 2017 14th IEEE India Council International Conference
(INDICON). IEEE, 2017. p. 1-6.
[15] P. Padmaja, “DETECTION OF MILICIOUS NODE IN WIRELESS SENSOR NETWORK”, IEEE 7th International
Advance Computing Conference, 2017.
[16] RAZZAQ, Madiha; NINGOMBAM, Devarani Devi; SHIN, Seokjoo. Energy efficient K-means clustering-based
routing protocol for WSN using optimal packet size. In: 2018 International Conference on Information Networking
(ICOIN). IEEE, 2018. p. 632-635.
[17] E. Sherly, “A New Hybrid Algorithm for Tolerating Security Threats in Wireless Sensor Networks”, International
CET Conference on Control, Communication, and Computing, Trivandrum, 2018.
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expansion. In: 2017 Ninth International Conference on Advanced Computational Intelligence (ICACI). IEEE, 2017. p.
157-162.
[19] SHEN, Limin, et al. A secure and efficient id-based aggregate signature scheme for wireless sensor networks. IEEE
Internet of Things Journal, 2016, 4.2: 546-554.
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algorithm. In: 2016 International Conference on Computation System and Information Technology for Sustainable
Solutions (CSITSS). IEEE, 2016. p. 130-134.
[21] THOMPSON, Scott A.; SAMANTHULA, Bharath K. Optimized secure data aggregation in wireless sensor
networks. In: 2017 15th Annual Conference on Privacy, Security and Trust (PST). IEEE, 2017. p. 394-3942.
[22] USHA, M., et al. Node density based clustering to maximize the network lifetime of WSN using multiple mobile
elements. In: 2017 International conference of Electronics, Communication and Aerospace Technology (ICECA). IEEE,
2017. p. 10-15.
[23] VIKRAM, G. Raja; KRISHNA, A. V. N.; CHATRAPATI, K. Shahu. Variable initial energy and unequal clustering
(VEUC) based multicasting in WSN. In: 2017 International Conference on Wireless Communications, Signal Processing
and Networking (WiSPNET). IEEE, 2017. p. 82-86.
[24] VLADUTA, Valentin-Alexandru; GHIMES, Ana-Maria; PATRICIU, Victor Valeriu. A Proposed Solution for
Analyzing the Behavior of a WSN using a Secured Neural Network Approach. In: 2018 International Symposium on
Electronics and Telecommunications (ISETC). IEEE, 2018. p. 1-4.
[25] WANG, Taochun, et al. An efficient and secure itinerary-based data aggregation algorithm for WSNs. In: 2017 IEEE
Trustcom/BigDataSE/ICESS. IEEE, 2017. p. 433-440.
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3rd Information Technology and Mechatronics Engineering Conference (ITOEC). IEEE, 2017. p. 1170-1173.
[27] YUVARAJ, P.; MANIMOZHI, M. Impact of base station location in clustering schemes of WSN. In: 2017
International conference on Microelectronic Devices, Circuits and Systems (ICMDCS). IEEE, 2017. p. 1-5.