Underwater Acoustic Sensor Networks (UASNs) are used for diverse purposes such as pollution monitoring, disaster prevention and industrial sensing in the oceans. Especially, UASNs are mainly focusing on monitoring various underwater environmental data and delivering the data to a monitoring center where nearby or far from the deployed area. To reliably deliver the data, a surface gateway should convert acoustic signal to RF (Radio Frequency) signal. In this paper, we devise a multiple interfaces-based surface gateway that can connect both a cellular network and a Zigbee network. Depends on the service requirement, the surface gateway can easily adopt each wireless interface and relay the data to a low power ZigBee network or a long range CDMA network.
Analysis of Water observation Organization Based on GSM and Wireless Sensor T...arpublication
The idea of ‘Wireless Sensor Network’ (WSN) is the basic building block of a water quality monitoring using wireless sensor network (WSN) technology. To monitor water quality over different sites as a real-time application, an excellent system architecture constituted by distributing sensor nodes and a base station is suggested. The nodes and base station are connected using WSN technology like Zigbee. Base stations are connected via Ethernet. Design and implementation of a prototype model using WSN technology are the challenging work. Data collected by various sensors on the node side such as pH, turbidity and oxygen level is sent via WSN to the base station. Data collected from the remote site can be displayed in visual format as well as it can be analyzed using different simulation tools at the base station. This novel system has advantages such as no carbon emission, low power consumption, more flexible to deploy at remote sites and so on.
TIME SYNCHRONIZATION IN WIRELESS SENSOR NETWORKS: A SURVEYijujournal
Time synchronization is a critical piece of infrastructure for any distributed system. Wireless sensor networks have emerged as an important and promising research area in the recent years. Time synchronization is important for many sensor network applications that require very precise mapping of gathered sensor data with the time of the events, for example, in tracking and vehicular surveillance. It also plays an important role in energy conservation in MAC layer protocols. The paper studies different existing methods, protocols, significant time parameters (clock drift, clock speed, synchronization errors, and topologies) to achieve accurate synchronization in a sensor network. The studied Synchronization protocols include conventional time sync protocols (RBS, Timing-sync Protocol for Sensor Networks -TPSN, FTSP), and other application specific
approaches such as all node-based approach, a diffusion-based method and group sync approaches aiming at providing network-wide time. The goal for writing this paper is to study most common existing time synchronization approaches and stress the need of a new class of secure-time synchronization protocol that is scalable, topology independent, fast convergent, energy efficient, less latent and less application dependent in a heterogeneous hostile environment. Our survey provides a valuable framework by which protocol designers can compare new and
existing synchronization protocols from various metric discussed in the paper. So, we are hopeful that this paper will serve a complete one-stop investigation to study the characteristics of existing time synchronization protocols and its implementation mechanism in a Sensor network environment.
Analysis of Water observation Organization Based on GSM and Wireless Sensor T...arpublication
The idea of ‘Wireless Sensor Network’ (WSN) is the basic building block of a water quality monitoring using wireless sensor network (WSN) technology. To monitor water quality over different sites as a real-time application, an excellent system architecture constituted by distributing sensor nodes and a base station is suggested. The nodes and base station are connected using WSN technology like Zigbee. Base stations are connected via Ethernet. Design and implementation of a prototype model using WSN technology are the challenging work. Data collected by various sensors on the node side such as pH, turbidity and oxygen level is sent via WSN to the base station. Data collected from the remote site can be displayed in visual format as well as it can be analyzed using different simulation tools at the base station. This novel system has advantages such as no carbon emission, low power consumption, more flexible to deploy at remote sites and so on.
TIME SYNCHRONIZATION IN WIRELESS SENSOR NETWORKS: A SURVEYijujournal
Time synchronization is a critical piece of infrastructure for any distributed system. Wireless sensor networks have emerged as an important and promising research area in the recent years. Time synchronization is important for many sensor network applications that require very precise mapping of gathered sensor data with the time of the events, for example, in tracking and vehicular surveillance. It also plays an important role in energy conservation in MAC layer protocols. The paper studies different existing methods, protocols, significant time parameters (clock drift, clock speed, synchronization errors, and topologies) to achieve accurate synchronization in a sensor network. The studied Synchronization protocols include conventional time sync protocols (RBS, Timing-sync Protocol for Sensor Networks -TPSN, FTSP), and other application specific
approaches such as all node-based approach, a diffusion-based method and group sync approaches aiming at providing network-wide time. The goal for writing this paper is to study most common existing time synchronization approaches and stress the need of a new class of secure-time synchronization protocol that is scalable, topology independent, fast convergent, energy efficient, less latent and less application dependent in a heterogeneous hostile environment. Our survey provides a valuable framework by which protocol designers can compare new and
existing synchronization protocols from various metric discussed in the paper. So, we are hopeful that this paper will serve a complete one-stop investigation to study the characteristics of existing time synchronization protocols and its implementation mechanism in a Sensor network environment.
Complete report on DATA ACQUISITION SCHEME IN WIRELESS SENSOR NETWORKRutvik Pensionwar
With the development in data acquisition system, information-collection plays an increasingly important role in the field of Wireless Technology. There has been tremendous increase in the use of sensors in each and every field. In order to get fast response from these sensors the delay should be reduced. Also the congestion in the network should be tackled to increase the efficiency. Wireless Sensor Networks (WSNs) consist of many tiny wireless sensors which operate in an environment in order to collect data. In a typical WSN, data is gathered from environment by sensor nodes and then transmitted to a base station. All these operations are executed by sensor nodes with keeping in mind the limitation of power. Reliable communication, power efficiency, network congestion issues are among major concerns. So in our project our main focus is to avoid the packet loss by increasing the network efficiency and handling the congestion in the network by proper buffer management. Finally visualization of processed data is done at the base station and the future enhancement could be to directly send the sensed data to cloud storage.
Real time approach of piezo actuated beam for wireless seismic measurement us...eSAT Journals
Abstract
Piezo-actuated beam is used for wireless seismic measurement and indication using Lab VIEW. Principle of piezoelectric materials
has been utilized here i.e. Piezoelectric materials deform when a voltage is applied to them and inversely will produce a voltage when
they are deformed. For this reason, they can be used as both sensors and actuators. Here, Lab VIEW 2013 version, NI ELVIS
(Educational Laboratory Virtual Instrumentation Suite) and Bluetooth device connected with PC has been utilized for acquiring and
indicating vibration. The developed design is expected to be used universally for measuring seismic waves and also in Industrial
applications for the measurement of micro vibration.
Keywords: Seismic measurement, Lab VIEW, wireless communication
Scheduling for interference mitigation using enhanced intercell interference ...eSAT Journals
Abstract Deployment of low power base station (pico) in macro cell is a key for providing high data rates. Cell range expansion is one of the features of LTE-advanced where low power base station in a heterogeneous network can increase their coverage area and neighboring cells can offload users to low power base station to reduce overload in macro cell. This presents a very challenging multi-user communication problem. Co-channel deployed Het-Net will experience interference between pico and macro. The main challenge of pico cells embedded into a macro cell is to let more users profit from the additional bandwidth introduced into the network. Enhanced Inter-cell Interference Coordination (eICIC) has been introduced to solve interference problem. Scheduling for eICIC is used to provide best solution for interference mitigation, overload in macro cell, fairness in resource usage by users. In this paper we have analyzed Round Robin scheduling for eICIC, results prove that fairness is maintained between users and throughput has been improved. Key Words: LTE - Long term Evolution, UE - User Equipment, eNB – eNodeB.
An algorithm for fault node recovery of wireless sensor networkeSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Unofficial guide to Nokia 5G Associate Certification. Just some exam notes I made for the certification, I would recommend Nokia extensive online training to all.
BL0 100 Nokia 5G Foundation Exam
Wireless Sensor Network for Radiation Detectionijeei-iaes
n this paper a wireless sensor network (WSN) is designed from a group of radiation detector stations with different types of sensors. These stations are located in different areas and each sensor transmits its data through GSM network to the main monitoring and control station. The design includes GPS module to determine the location of mobile and fixed station. The data is transmitted with GSM/GPRS modem. Instead of using traditional SMS data string or word messages a digital data frame is constructed and transmitted as SMS data. In the main monitoring station graphical user interface (GUI) software is designed to shows information and statues of the all stations in the network. It reports any radiation leaks, in addition to the data; the GUI contains a geographical map to display the location of the leakage station and can control the stations power consumption by sending a special command to it.
Complete report on DATA ACQUISITION SCHEME IN WIRELESS SENSOR NETWORKRutvik Pensionwar
With the development in data acquisition system, information-collection plays an increasingly important role in the field of Wireless Technology. There has been tremendous increase in the use of sensors in each and every field. In order to get fast response from these sensors the delay should be reduced. Also the congestion in the network should be tackled to increase the efficiency. Wireless Sensor Networks (WSNs) consist of many tiny wireless sensors which operate in an environment in order to collect data. In a typical WSN, data is gathered from environment by sensor nodes and then transmitted to a base station. All these operations are executed by sensor nodes with keeping in mind the limitation of power. Reliable communication, power efficiency, network congestion issues are among major concerns. So in our project our main focus is to avoid the packet loss by increasing the network efficiency and handling the congestion in the network by proper buffer management. Finally visualization of processed data is done at the base station and the future enhancement could be to directly send the sensed data to cloud storage.
Real time approach of piezo actuated beam for wireless seismic measurement us...eSAT Journals
Abstract
Piezo-actuated beam is used for wireless seismic measurement and indication using Lab VIEW. Principle of piezoelectric materials
has been utilized here i.e. Piezoelectric materials deform when a voltage is applied to them and inversely will produce a voltage when
they are deformed. For this reason, they can be used as both sensors and actuators. Here, Lab VIEW 2013 version, NI ELVIS
(Educational Laboratory Virtual Instrumentation Suite) and Bluetooth device connected with PC has been utilized for acquiring and
indicating vibration. The developed design is expected to be used universally for measuring seismic waves and also in Industrial
applications for the measurement of micro vibration.
Keywords: Seismic measurement, Lab VIEW, wireless communication
Scheduling for interference mitigation using enhanced intercell interference ...eSAT Journals
Abstract Deployment of low power base station (pico) in macro cell is a key for providing high data rates. Cell range expansion is one of the features of LTE-advanced where low power base station in a heterogeneous network can increase their coverage area and neighboring cells can offload users to low power base station to reduce overload in macro cell. This presents a very challenging multi-user communication problem. Co-channel deployed Het-Net will experience interference between pico and macro. The main challenge of pico cells embedded into a macro cell is to let more users profit from the additional bandwidth introduced into the network. Enhanced Inter-cell Interference Coordination (eICIC) has been introduced to solve interference problem. Scheduling for eICIC is used to provide best solution for interference mitigation, overload in macro cell, fairness in resource usage by users. In this paper we have analyzed Round Robin scheduling for eICIC, results prove that fairness is maintained between users and throughput has been improved. Key Words: LTE - Long term Evolution, UE - User Equipment, eNB – eNodeB.
An algorithm for fault node recovery of wireless sensor networkeSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Unofficial guide to Nokia 5G Associate Certification. Just some exam notes I made for the certification, I would recommend Nokia extensive online training to all.
BL0 100 Nokia 5G Foundation Exam
Wireless Sensor Network for Radiation Detectionijeei-iaes
n this paper a wireless sensor network (WSN) is designed from a group of radiation detector stations with different types of sensors. These stations are located in different areas and each sensor transmits its data through GSM network to the main monitoring and control station. The design includes GPS module to determine the location of mobile and fixed station. The data is transmitted with GSM/GPRS modem. Instead of using traditional SMS data string or word messages a digital data frame is constructed and transmitted as SMS data. In the main monitoring station graphical user interface (GUI) software is designed to shows information and statues of the all stations in the network. It reports any radiation leaks, in addition to the data; the GUI contains a geographical map to display the location of the leakage station and can control the stations power consumption by sending a special command to it.
ENERGY EFFICIENT AND SECURED GEOCAST PROTOCOL IN WIRELESS SENSOR NETWORK DEPL...ijwmn
In recent years, sensor networks are often deployed in several geographical regions to study certain
phenomena. In this case, it may therefore happen that it is necessary to send a message to all the nodes of
one or more regions for example to ask them to go into sleep mode. This problem is known in the literature
as geographical routing (geocast). Several works have been proposed to solve this problem. In this paper
we propose an energy-efficient and secured geocast protocol for a WSN deployed in space with data
guarantee delivery to all nodes placed in one or more geocast regions. Our protocol consists of two major
parts which are complementary and in addition of being secured, it is energy-efficient due to the fact that
few messages are exchanged between the sensors during the first part of the algorithm.
ENERGY EFFICIENT AND SECURED GEOCAST PROTOCOL IN WIRELESS SENSOR NETWORK DEPL...ijwmn
In recent years, sensor networks are often deployed in several geographical regions to study certain phenomena. In this case, it may therefore happen that it is necessary to send a message to all the nodes of one or more regions for example to ask them to go into sleep mode. This problem is known in the literature as geographical routing (geocast). Several works have been proposed to solve this problem. In this paper we propose an energy-efficient and secured geocast protocol for a WSN deployed in space with data guarantee delivery to all nodes placed in one or more geocast regions. Our protocol consists of two major parts which are complementary and in addition of being secured, it is energy-efficient due to the fact that few messages are exchanged between the sensors during the first part of the algorithm.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
REDUCING HANDOVER DELAY BY PRESELECTIVE SCANNING USING GPS ijdpsjournal
IEEE 802.11 based mobile communication towers is used very much in many personal and industrial purposes as it provides a continuous connectivity to Mobile Nodes (MNs) and allows them to change their attachment point from old Access Point (A)P to new AP while needed. But one main problem of continuous connectivity is handover latency which consists of scanning, authentication and re-association phases. Scanning is the most time consuming part of handover process. In this paper, we introduce a prescanning mechanism using Global Positioning System (GPS) to reduce handover delay. In our method, scanning is completed almost before actual handover starts. From the simulation results, it can be seen that our proposed mechanism reduces handover delay by a great deal.
Wireless Technology for Monitoring Site-specific Landslide in Vietnam IJECEIAES
Climate change has caused an increasing number of landslides, especially in the mountainous provinces of Vietnam, resulting in the destruction of vital transport and other infrastructure. Current monitoring and forecasting systems of the meteorology department cannot deliver accurate and reliable forecasts for weather events and issue timely warnings. This paper describes the development of a simple, low cost, and efficient system for monitoring and warning landslide in real-time. The authors focus on the use of wireless and related technologies in the implementation of a technical solution and some of the problems of the wireless sensor network (WSN) related to power consumption. Promising compressed sensing (CS) based solution for landslide monitoring is discussed and evaluated in the paper.
A Review on - Comparative Study of Issues in Cellular, Sensor and Adhoc Networkscscpconf
A cellular network is an asymmetric radio network which is made up of fixed transceivers or
nodes, maintain the signal while the mobile transceiver which is using the network is in the
vicinity of the node. An ad-hoc network is a local area network (LAN) that is built
spontaneously as devices connect.
Instead of relying on a base station to coordinate the flow of messages to each node in the
network, the individual network nodes forward packets to and from each other.
This paper focuses on various issues in cellular, adhoc and sensor network. As issues proves helpful for forthcoming research, this paper work as a backbone to elaborate the various research areas.
Performance Analysis of Fault Detection in Round Trip Delay and Path Wireless...Editor IJMTER
In recent years, wsns detect to the fault sensor node based on round trip delay using path
in wireless sensor networks. Portable sensor node is low cost in Wsns . Measured in the round trip
delay time and number of sensor node. Existing method is used to large value of sensor node,
identification of sensor node time and distance . it is used to linear selection path, disadvantages are
data loss, more number of path, complexity. in this proposed method using distributed autonomous
sensor software implementation in NS2.it is detected fault sensor node and malfunction ,in this
analysis time and path using discrete Rtp. real time applicability in received signal strength ,separate
wavelength for end of the node avoid the data loss and complexity. Hardware implementation using
ZigBee and Microcontroller .Equal to the hardware and software implementation. It is overcomes to
the data loss. comparing the threshold and Rtd time. Finally, the algorithm is tested under different
number of faulty sensors in the same area. Our Simulation results demonstrate that the time
consumed to find out the faulty nodes in our proposed algorithm is relatively less with a large
number of faulty sensors existing in the network.
A cellular network is an asymmetric radio network which is made up of fixed transceivers or nodes, maintain the signal while the mobile transceiver which is using the network is in the vicinity of the node. An ad-hoc network is a local area network (LAN) that is built spontaneously as devices connect.
Instead of relying on a base station to coordinate the flow of messages to each node in the network, the individual network nodes forward packets to and from each other.
This paper focuses on various issues, architecture and routing protocols in cellular, adhoc and sensor networks. As issues proves helpful for forthcoming research, this paper work as a backbone to elaborate the various research areas.
A cellular network is an asymmetric radio network which is made up of fixed transceivers or nodes, maintain the signal while the mobile transceiver which is using the network is in the vicinity of the node. An ad-hoc network is a local area network (LAN) that is built spontaneously as devices connect.
Instead of relying on a base station to coordinate the flow of messages to each node in the network, the individual network nodes forward packets to and from each other.
This paper focuses on various issues, architecture and routing protocols in cellular, adhoc and sensor networks. As issues proves helpful for forthcoming research, this paper work as a backbone to elaborate the various research areas
Similar to Design and implementation of heterogeneous surface gateway for underwater acoustic sensor network (20)
Bibliometric analysis highlighting the role of women in addressing climate ch...IJECEIAES
Fossil fuel consumption increased quickly, contributing to climate change
that is evident in unusual flooding and draughts, and global warming. Over
the past ten years, women's involvement in society has grown dramatically,
and they succeeded in playing a noticeable role in reducing climate change.
A bibliometric analysis of data from the last ten years has been carried out to
examine the role of women in addressing the climate change. The analysis's
findings discussed the relevant to the sustainable development goals (SDGs),
particularly SDG 7 and SDG 13. The results considered contributions made
by women in the various sectors while taking geographic dispersion into
account. The bibliometric analysis delves into topics including women's
leadership in environmental groups, their involvement in policymaking, their
contributions to sustainable development projects, and the influence of
gender diversity on attempts to mitigate climate change. This study's results
highlight how women have influenced policies and actions related to climate
change, point out areas of research deficiency and recommendations on how
to increase role of the women in addressing the climate change and
achieving sustainability. To achieve more successful results, this initiative
aims to highlight the significance of gender equality and encourage
inclusivity in climate change decision-making processes.
Voltage and frequency control of microgrid in presence of micro-turbine inter...IJECEIAES
The active and reactive load changes have a significant impact on voltage
and frequency. In this paper, in order to stabilize the microgrid (MG) against
load variations in islanding mode, the active and reactive power of all
distributed generators (DGs), including energy storage (battery), diesel
generator, and micro-turbine, are controlled. The micro-turbine generator is
connected to MG through a three-phase to three-phase matrix converter, and
the droop control method is applied for controlling the voltage and
frequency of MG. In addition, a method is introduced for voltage and
frequency control of micro-turbines in the transition state from gridconnected mode to islanding mode. A novel switching strategy of the matrix
converter is used for converting the high-frequency output voltage of the
micro-turbine to the grid-side frequency of the utility system. Moreover,
using the switching strategy, the low-order harmonics in the output current
and voltage are not produced, and consequently, the size of the output filter
would be reduced. In fact, the suggested control strategy is load-independent
and has no frequency conversion restrictions. The proposed approach for
voltage and frequency regulation demonstrates exceptional performance and
favorable response across various load alteration scenarios. The suggested
strategy is examined in several scenarios in the MG test systems, and the
simulation results are addressed.
Enhancing battery system identification: nonlinear autoregressive modeling fo...IJECEIAES
Precisely characterizing Li-ion batteries is essential for optimizing their
performance, enhancing safety, and prolonging their lifespan across various
applications, such as electric vehicles and renewable energy systems. This
article introduces an innovative nonlinear methodology for system
identification of a Li-ion battery, employing a nonlinear autoregressive with
exogenous inputs (NARX) model. The proposed approach integrates the
benefits of nonlinear modeling with the adaptability of the NARX structure,
facilitating a more comprehensive representation of the intricate
electrochemical processes within the battery. Experimental data collected
from a Li-ion battery operating under diverse scenarios are employed to
validate the effectiveness of the proposed methodology. The identified
NARX model exhibits superior accuracy in predicting the battery's behavior
compared to traditional linear models. This study underscores the
importance of accounting for nonlinearities in battery modeling, providing
insights into the intricate relationships between state-of-charge, voltage, and
current under dynamic conditions.
Smart grid deployment: from a bibliometric analysis to a surveyIJECEIAES
Smart grids are one of the last decades' innovations in electrical energy.
They bring relevant advantages compared to the traditional grid and
significant interest from the research community. Assessing the field's
evolution is essential to propose guidelines for facing new and future smart
grid challenges. In addition, knowing the main technologies involved in the
deployment of smart grids (SGs) is important to highlight possible
shortcomings that can be mitigated by developing new tools. This paper
contributes to the research trends mentioned above by focusing on two
objectives. First, a bibliometric analysis is presented to give an overview of
the current research level about smart grid deployment. Second, a survey of
the main technological approaches used for smart grid implementation and
their contributions are highlighted. To that effect, we searched the Web of
Science (WoS), and the Scopus databases. We obtained 5,663 documents
from WoS and 7,215 from Scopus on smart grid implementation or
deployment. With the extraction limitation in the Scopus database, 5,872 of
the 7,215 documents were extracted using a multi-step process. These two
datasets have been analyzed using a bibliometric tool called bibliometrix.
The main outputs are presented with some recommendations for future
research.
Use of analytical hierarchy process for selecting and prioritizing islanding ...IJECEIAES
One of the problems that are associated to power systems is islanding
condition, which must be rapidly and properly detected to prevent any
negative consequences on the system's protection, stability, and security.
This paper offers a thorough overview of several islanding detection
strategies, which are divided into two categories: classic approaches,
including local and remote approaches, and modern techniques, including
techniques based on signal processing and computational intelligence.
Additionally, each approach is compared and assessed based on several
factors, including implementation costs, non-detected zones, declining
power quality, and response times using the analytical hierarchy process
(AHP). The multi-criteria decision-making analysis shows that the overall
weight of passive methods (24.7%), active methods (7.8%), hybrid methods
(5.6%), remote methods (14.5%), signal processing-based methods (26.6%),
and computational intelligent-based methods (20.8%) based on the
comparison of all criteria together. Thus, it can be seen from the total weight
that hybrid approaches are the least suitable to be chosen, while signal
processing-based methods are the most appropriate islanding detection
method to be selected and implemented in power system with respect to the
aforementioned factors. Using Expert Choice software, the proposed
hierarchy model is studied and examined.
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...IJECEIAES
The power generated by photovoltaic (PV) systems is influenced by
environmental factors. This variability hampers the control and utilization of
solar cells' peak output. In this study, a single-stage grid-connected PV
system is designed to enhance power quality. Our approach employs fuzzy
logic in the direct power control (DPC) of a three-phase voltage source
inverter (VSI), enabling seamless integration of the PV connected to the
grid. Additionally, a fuzzy logic-based maximum power point tracking
(MPPT) controller is adopted, which outperforms traditional methods like
incremental conductance (INC) in enhancing solar cell efficiency and
minimizing the response time. Moreover, the inverter's real-time active and
reactive power is directly managed to achieve a unity power factor (UPF).
The system's performance is assessed through MATLAB/Simulink
implementation, showing marked improvement over conventional methods,
particularly in steady-state and varying weather conditions. For solar
irradiances of 500 and 1,000 W/m2
, the results show that the proposed
method reduces the total harmonic distortion (THD) of the injected current
to the grid by approximately 46% and 38% compared to conventional
methods, respectively. Furthermore, we compare the simulation results with
IEEE standards to evaluate the system's grid compatibility.
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...IJECEIAES
Photovoltaic systems have emerged as a promising energy resource that
caters to the future needs of society, owing to their renewable, inexhaustible,
and cost-free nature. The power output of these systems relies on solar cell
radiation and temperature. In order to mitigate the dependence on
atmospheric conditions and enhance power tracking, a conventional
approach has been improved by integrating various methods. To optimize
the generation of electricity from solar systems, the maximum power point
tracking (MPPT) technique is employed. To overcome limitations such as
steady-state voltage oscillations and improve transient response, two
traditional MPPT methods, namely fuzzy logic controller (FLC) and perturb
and observe (P&O), have been modified. This research paper aims to
simulate and validate the step size of the proposed modified P&O and FLC
techniques within the MPPT algorithm using MATLAB/Simulink for
efficient power tracking in photovoltaic systems.
Adaptive synchronous sliding control for a robot manipulator based on neural ...IJECEIAES
Robot manipulators have become important equipment in production lines, medical fields, and transportation. Improving the quality of trajectory tracking for
robot hands is always an attractive topic in the research community. This is a
challenging problem because robot manipulators are complex nonlinear systems
and are often subject to fluctuations in loads and external disturbances. This
article proposes an adaptive synchronous sliding control scheme to improve trajectory tracking performance for a robot manipulator. The proposed controller
ensures that the positions of the joints track the desired trajectory, synchronize
the errors, and significantly reduces chattering. First, the synchronous tracking
errors and synchronous sliding surfaces are presented. Second, the synchronous
tracking error dynamics are determined. Third, a robust adaptive control law is
designed,the unknown components of the model are estimated online by the neural network, and the parameters of the switching elements are selected by fuzzy
logic. The built algorithm ensures that the tracking and approximation errors
are ultimately uniformly bounded (UUB). Finally, the effectiveness of the constructed algorithm is demonstrated through simulation and experimental results.
Simulation and experimental results show that the proposed controller is effective with small synchronous tracking errors, and the chattering phenomenon is
significantly reduced.
Remote field-programmable gate array laboratory for signal acquisition and de...IJECEIAES
A remote laboratory utilizing field-programmable gate array (FPGA) technologies enhances students’ learning experience anywhere and anytime in embedded system design. Existing remote laboratories prioritize hardware access and visual feedback for observing board behavior after programming, neglecting comprehensive debugging tools to resolve errors that require internal signal acquisition. This paper proposes a novel remote embeddedsystem design approach targeting FPGA technologies that are fully interactive via a web-based platform. Our solution provides FPGA board access and debugging capabilities beyond the visual feedback provided by existing remote laboratories. We implemented a lab module that allows users to seamlessly incorporate into their FPGA design. The module minimizes hardware resource utilization while enabling the acquisition of a large number of data samples from the signal during the experiments by adaptively compressing the signal prior to data transmission. The results demonstrate an average compression ratio of 2.90 across three benchmark signals, indicating efficient signal acquisition and effective debugging and analysis. This method allows users to acquire more data samples than conventional methods. The proposed lab allows students to remotely test and debug their designs, bridging the gap between theory and practice in embedded system design.
Detecting and resolving feature envy through automated machine learning and m...IJECEIAES
Efficiently identifying and resolving code smells enhances software project quality. This paper presents a novel solution, utilizing automated machine learning (AutoML) techniques, to detect code smells and apply move method refactoring. By evaluating code metrics before and after refactoring, we assessed its impact on coupling, complexity, and cohesion. Key contributions of this research include a unique dataset for code smell classification and the development of models using AutoGluon for optimal performance. Furthermore, the study identifies the top 20 influential features in classifying feature envy, a well-known code smell, stemming from excessive reliance on external classes. We also explored how move method refactoring addresses feature envy, revealing reduced coupling and complexity, and improved cohesion, ultimately enhancing code quality. In summary, this research offers an empirical, data-driven approach, integrating AutoML and move method refactoring to optimize software project quality. Insights gained shed light on the benefits of refactoring on code quality and the significance of specific features in detecting feature envy. Future research can expand to explore additional refactoring techniques and a broader range of code metrics, advancing software engineering practices and standards.
Smart monitoring technique for solar cell systems using internet of things ba...IJECEIAES
Rapidly and remotely monitoring and receiving the solar cell systems status parameters, solar irradiance, temperature, and humidity, are critical issues in enhancement their efficiency. Hence, in the present article an improved smart prototype of internet of things (IoT) technique based on embedded system through NodeMCU ESP8266 (ESP-12E) was carried out experimentally. Three different regions at Egypt; Luxor, Cairo, and El-Beheira cities were chosen to study their solar irradiance profile, temperature, and humidity by the proposed IoT system. The monitoring data of solar irradiance, temperature, and humidity were live visualized directly by Ubidots through hypertext transfer protocol (HTTP) protocol. The measured solar power radiation in Luxor, Cairo, and El-Beheira ranged between 216-1000, 245-958, and 187-692 W/m 2 respectively during the solar day. The accuracy and rapidity of obtaining monitoring results using the proposed IoT system made it a strong candidate for application in monitoring solar cell systems. On the other hand, the obtained solar power radiation results of the three considered regions strongly candidate Luxor and Cairo as suitable places to build up a solar cells system station rather than El-Beheira.
An efficient security framework for intrusion detection and prevention in int...IJECEIAES
Over the past few years, the internet of things (IoT) has advanced to connect billions of smart devices to improve quality of life. However, anomalies or malicious intrusions pose several security loopholes, leading to performance degradation and threat to data security in IoT operations. Thereby, IoT security systems must keep an eye on and restrict unwanted events from occurring in the IoT network. Recently, various technical solutions based on machine learning (ML) models have been derived towards identifying and restricting unwanted events in IoT. However, most ML-based approaches are prone to miss-classification due to inappropriate feature selection. Additionally, most ML approaches applied to intrusion detection and prevention consider supervised learning, which requires a large amount of labeled data to be trained. Consequently, such complex datasets are impossible to source in a large network like IoT. To address this problem, this proposed study introduces an efficient learning mechanism to strengthen the IoT security aspects. The proposed algorithm incorporates supervised and unsupervised approaches to improve the learning models for intrusion detection and mitigation. Compared with the related works, the experimental outcome shows that the model performs well in a benchmark dataset. It accomplishes an improved detection accuracy of approximately 99.21%.
Developing a smart system for infant incubators using the internet of things ...IJECEIAES
This research is developing an incubator system that integrates the internet of things and artificial intelligence to improve care for premature babies. The system workflow starts with sensors that collect data from the incubator. Then, the data is sent in real-time to the internet of things (IoT) broker eclipse mosquito using the message queue telemetry transport (MQTT) protocol version 5.0. After that, the data is stored in a database for analysis using the long short-term memory network (LSTM) method and displayed in a web application using an application programming interface (API) service. Furthermore, the experimental results produce as many as 2,880 rows of data stored in the database. The correlation coefficient between the target attribute and other attributes ranges from 0.23 to 0.48. Next, several experiments were conducted to evaluate the model-predicted value on the test data. The best results are obtained using a two-layer LSTM configuration model, each with 60 neurons and a lookback setting 6. This model produces an R 2 value of 0.934, with a root mean square error (RMSE) value of 0.015 and a mean absolute error (MAE) of 0.008. In addition, the R 2 value was also evaluated for each attribute used as input, with a result of values between 0.590 and 0.845.
A review on internet of things-based stingless bee's honey production with im...IJECEIAES
Honey is produced exclusively by honeybees and stingless bees which both are well adapted to tropical and subtropical regions such as Malaysia. Stingless bees are known for producing small amounts of honey and are known for having a unique flavor profile. Problem identified that many stingless bees collapsed due to weather, temperature and environment. It is critical to understand the relationship between the production of stingless bee honey and environmental conditions to improve honey production. Thus, this paper presents a review on stingless bee's honey production and prediction modeling. About 54 previous research has been analyzed and compared in identifying the research gaps. A framework on modeling the prediction of stingless bee honey is derived. The result presents the comparison and analysis on the internet of things (IoT) monitoring systems, honey production estimation, convolution neural networks (CNNs), and automatic identification methods on bee species. It is identified based on image detection method the top best three efficiency presents CNN is at 98.67%, densely connected convolutional networks with YOLO v3 is 97.7%, and DenseNet201 convolutional networks 99.81%. This study is significant to assist the researcher in developing a model for predicting stingless honey produced by bee's output, which is important for a stable economy and food security.
A trust based secure access control using authentication mechanism for intero...IJECEIAES
The internet of things (IoT) is a revolutionary innovation in many aspects of our society including interactions, financial activity, and global security such as the military and battlefield internet. Due to the limited energy and processing capacity of network devices, security, energy consumption, compatibility, and device heterogeneity are the long-term IoT problems. As a result, energy and security are critical for data transmission across edge and IoT networks. Existing IoT interoperability techniques need more computation time, have unreliable authentication mechanisms that break easily, lose data easily, and have low confidentiality. In this paper, a key agreement protocol-based authentication mechanism for IoT devices is offered as a solution to this issue. This system makes use of information exchange, which must be secured to prevent access by unauthorized users. Using a compact contiki/cooja simulator, the performance and design of the suggested framework are validated. The simulation findings are evaluated based on detection of malicious nodes after 60 minutes of simulation. The suggested trust method, which is based on privacy access control, reduced packet loss ratio to 0.32%, consumed 0.39% power, and had the greatest average residual energy of 0.99 mJoules at 10 nodes.
Fuzzy linear programming with the intuitionistic polygonal fuzzy numbersIJECEIAES
In real world applications, data are subject to ambiguity due to several factors; fuzzy sets and fuzzy numbers propose a great tool to model such ambiguity. In case of hesitation, the complement of a membership value in fuzzy numbers can be different from the non-membership value, in which case we can model using intuitionistic fuzzy numbers as they provide flexibility by defining both a membership and a non-membership functions. In this article, we consider the intuitionistic fuzzy linear programming problem with intuitionistic polygonal fuzzy numbers, which is a generalization of the previous polygonal fuzzy numbers found in the literature. We present a modification of the simplex method that can be used to solve any general intuitionistic fuzzy linear programming problem after approximating the problem by an intuitionistic polygonal fuzzy number with n edges. This method is given in a simple tableau formulation, and then applied on numerical examples for clarity.
The performance of artificial intelligence in prostate magnetic resonance im...IJECEIAES
Prostate cancer is the predominant form of cancer observed in men worldwide. The application of magnetic resonance imaging (MRI) as a guidance tool for conducting biopsies has been established as a reliable and well-established approach in the diagnosis of prostate cancer. The diagnostic performance of MRI-guided prostate cancer diagnosis exhibits significant heterogeneity due to the intricate and multi-step nature of the diagnostic pathway. The development of artificial intelligence (AI) models, specifically through the utilization of machine learning techniques such as deep learning, is assuming an increasingly significant role in the field of radiology. In the realm of prostate MRI, a considerable body of literature has been dedicated to the development of various AI algorithms. These algorithms have been specifically designed for tasks such as prostate segmentation, lesion identification, and classification. The overarching objective of these endeavors is to enhance diagnostic performance and foster greater agreement among different observers within MRI scans for the prostate. This review article aims to provide a concise overview of the application of AI in the field of radiology, with a specific focus on its utilization in prostate MRI.
Seizure stage detection of epileptic seizure using convolutional neural networksIJECEIAES
According to the World Health Organization (WHO), seventy million individuals worldwide suffer from epilepsy, a neurological disorder. While electroencephalography (EEG) is crucial for diagnosing epilepsy and monitoring the brain activity of epilepsy patients, it requires a specialist to examine all EEG recordings to find epileptic behavior. This procedure needs an experienced doctor, and a precise epilepsy diagnosis is crucial for appropriate treatment. To identify epileptic seizures, this study employed a convolutional neural network (CNN) based on raw scalp EEG signals to discriminate between preictal, ictal, postictal, and interictal segments. The possibility of these characteristics is explored by examining how well timedomain signals work in the detection of epileptic signals using intracranial Freiburg Hospital (FH), scalp Children's Hospital Boston-Massachusetts Institute of Technology (CHB-MIT) databases, and Temple University Hospital (TUH) EEG. To test the viability of this approach, two types of experiments were carried out. Firstly, binary class classification (preictal, ictal, postictal each versus interictal) and four-class classification (interictal versus preictal versus ictal versus postictal). The average accuracy for stage detection using CHB-MIT database was 84.4%, while the Freiburg database's time-domain signals had an accuracy of 79.7% and the highest accuracy of 94.02% for classification in the TUH EEG database when comparing interictal stage to preictal stage.
Analysis of driving style using self-organizing maps to analyze driver behaviorIJECEIAES
Modern life is strongly associated with the use of cars, but the increase in acceleration speeds and their maneuverability leads to a dangerous driving style for some drivers. In these conditions, the development of a method that allows you to track the behavior of the driver is relevant. The article provides an overview of existing methods and models for assessing the functioning of motor vehicles and driver behavior. Based on this, a combined algorithm for recognizing driving style is proposed. To do this, a set of input data was formed, including 20 descriptive features: About the environment, the driver's behavior and the characteristics of the functioning of the car, collected using OBD II. The generated data set is sent to the Kohonen network, where clustering is performed according to driving style and degree of danger. Getting the driving characteristics into a particular cluster allows you to switch to the private indicators of an individual driver and considering individual driving characteristics. The application of the method allows you to identify potentially dangerous driving styles that can prevent accidents.
Hyperspectral object classification using hybrid spectral-spatial fusion and ...IJECEIAES
Because of its spectral-spatial and temporal resolution of greater areas, hyperspectral imaging (HSI) has found widespread application in the field of object classification. The HSI is typically used to accurately determine an object's physical characteristics as well as to locate related objects with appropriate spectral fingerprints. As a result, the HSI has been extensively applied to object identification in several fields, including surveillance, agricultural monitoring, environmental research, and precision agriculture. However, because of their enormous size, objects require a lot of time to classify; for this reason, both spectral and spatial feature fusion have been completed. The existing classification strategy leads to increased misclassification, and the feature fusion method is unable to preserve semantic object inherent features; This study addresses the research difficulties by introducing a hybrid spectral-spatial fusion (HSSF) technique to minimize feature size while maintaining object intrinsic qualities; Lastly, a soft-margins kernel is proposed for multi-layer deep support vector machine (MLDSVM) to reduce misclassification. The standard Indian pines dataset is used for the experiment, and the outcome demonstrates that the HSSF-MLDSVM model performs substantially better in terms of accuracy and Kappa coefficient.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
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Water billing management system project report.pdfKamal Acharya
Our project entitled “Water Billing Management System” aims is to generate Water bill with all the charges and penalty. Manual system that is employed is extremely laborious and quite inadequate. It only makes the process more difficult and hard.
The aim of our project is to develop a system that is meant to partially computerize the work performed in the Water Board like generating monthly Water bill, record of consuming unit of water, store record of the customer and previous unpaid record.
We used HTML/PHP as front end and MYSQL as back end for developing our project. HTML is primarily a visual design environment. We can create a android application by designing the form and that make up the user interface. Adding android application code to the form and the objects such as buttons and text boxes on them and adding any required support code in additional modular.
MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software. It is a stable ,reliable and the powerful solution with the advanced features and advantages which are as follows: Data Security.MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
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those information and relay them to a specific surface gateway. The surface gateway gather all information
from other sensor nodes and reliably transfer those information to the monitoring center. In this case, Code
Division Multiple Access (CDMA) is highly recommended for an additional wireless interface due to its
robustness in the presence of signal fading[1]. Moreover, the communication range of CDMA is much larger
than other wireless technologies such as Wi-Fi [3], Bluetooth, and ZigBee [4]. In the case of ZigBee, usally
used in Wireless Sensor Networks (WSNs) [5-6], the transmission range is not enough to convey the ocean
information to the monitoring center. Otherwise, the transmission range of CDMA is up to 1/2 mile in cities,
and it can be extended up to 5 miles in rural areas. By adopting the additional CDMA interface to a surface
gateway, UASNs can communicate with a low power ZigBee among other sensor nodes and the gateway
directly connect to the monitoring center without unnecassry relay protocols.
The remainder of this paper is organized as follows. Section 2 briefly introduce the related work.
We then describe the overall architecture of surface gateway in Section 3. Finally, Section 4 concludes
the paper.
2. RELATED WORK
In this section, we introduce the overall architecture of UASNs. Especially, we describe the basic
concept of UASNs with their various components and detailed operations. The UASNs consists of many tiny
underwater sensor nodes, underwater sink nodes and surface gateways. Each tiny sensor node performs an
environmental monitoring with several underwater sensor modules that collect their surrounding environment
information. In order to communicate with neighboring nodes under the water, it conveys measured
information to the sink node via underwater acoustic modem that converts a basic digital signal to an
ultrasonic signal. After receiving raw datas, the underwater sink node checks the ocean data and selectively
sends them to the surface gateway. After that, the surface gateway takes a role of a general relay node
between UASNs and infrastructure such as an access point or a base station [2].
In order to support large coverage of UASNs, the communication range of surface gateway is one of
the major concerns. In case of WSNs, they employ a low power communication technology, called ZigBee to
reduce the energy consumption of sensor nodes. It means that a traditional sensor network has the limitation
when they share monitoring information among other clusters of sensor networks. In case of UASNs, due to
their deployment policies, the surface gateway is often far from the base station. Thus, they have to support
both a low power communication among other clusters and a long range communication for the base station.
However, various previous approaches mainly consider the low power communication. To remedy the
problem, our surface gateway exchanges its aggregated information via a CDMA interface.
3. DESIGN OF HETEROGENEOUS SURFACE GATEWAY
3.1. The overall components of surface gateway
The main components of the surface gateway are a microcontroller module, a CDMA
communication module and a RF module. Figure 1 illustrates the block diagram of the surface gateway.
Figure 1. Block diagram of surface gateway
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The gateway is equipped with the Atmega128L as a Microcontroller Unit (MCU). The Atmega128L
is the one of the popular low power 8-bit microcontrollers to control the entire system. It consists of
128kbytes flash, dual programmable UARTs and a SPI interface. One channel of the UART is connected to
the serial port on the computer to debug the device. The other one is connected to the CDMA module and the
GPS module via UART swithcing module to avoid severe collisions between both modules.
We use the Qualcomm MSM6050 chipset as a CDMA module. It can support CDMA 2000 protocol
and various interfaces such as UART ports, GPIO and an antenna. As shown in the Figure 2, the CDMA
connectivity can transfer the processed datas from an access area to the cellular network with a long range
communication. Based on the CDMA protocol, the CDMA modules establishes the basic connection between
the surface gateway and the monitoring center. After establishing the connection, each module transmits the
datas with the regular CDMA protocol via a duplex link. To disconnect the communication link, one module
sends a disconnection command. After receiving the command, the destination module transmits a response
message to completely quit the connection. In addition, when the timer is expierd, they are disconnected. The
CDMA module starts a connection timer after successfully connecting each other. Once the timer is expired,
one module automatically sends a „No carrier‟ message to the destination module to disconnect the link.
Figure 2. CDMA communication flows
As shown in the Figure 3 we implement the prototype of the surface gateway. The surface
gatewway consists of four areas. The first area is MCU and second area is CDMA module. The third area is
the GPS module and the fourth area is the RF module. We use CC2420 RFIC as the RF module to support
the ZigBee protocol. It provides an energy efficiency communication among the surface gateways and tiny
sensor nodes. If the distance between the surface gateway and the monitoring center is within the
transmission range of the ZigBee connectivity, it can also support the data exchange between them.
In addition, we set a GPS module for the purpose of the location based service. We use MTK MT3318
chipset to support multi-channel and high accuracy positioning service. The GPS module periodically
transmits location informatin with longitude, latitude, time, a number of satellites and so on. We obtain
latitude and longitude from the location information and calculate the exact position of the node.
Figure 3. The prototype of the surface gateway
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3.2. The basic operation flow of surface gateway
In order to control the underwater robot through the acoustic modem and the CDMA module, we
design the basic operation flow of surface gateway. The detailed operation of the surface gateway depends on
the MAC protocol. In our experimentation, we mainly focus on the TDMA based MAC protocol.
It periodically conveys wakeup schedules via a beacon message. Based on the message, each node can set the
transmission timing for underwater robot control messages and data exchanges.
Figure 4 shows the basic operation flow of the acoustic modem. If the acoustic modem receives the
messages, it checks the presence of the beacon message. If it contains the beacon message, the gateway
extracts a time schedule. Based on the time schedule, it determines whether sending control messages to the
sink node or not. To reliably control the robot, the gateway periodically sends robot control message with its
buffer information. In addition, in the data gathering phase, the surface gateway listens for the message from
the acoustic modem. After receiving some gathered data from the underwater sink node, the surface gateway
sends it to the monitoring center through CDMA module. In this case, we can dynamically adjust the control
period and information sharing period. If we detects a specific event in the ocean spot, we increase the
information sharing period to gether more information and convey them to the monitoring center.
Figure 5 shows the basic operation flow of CDMA module. In the initial phase, the gateway controls
its CDMA module to connect to the remote monitoring center. After that, it waits for the incoming robot
control messages from the CDMA module. When the control message arrives from the monitoring center, the
MCU keeps the messages for a while. While saving the robot control messages, it tries to send them to the
underwater sink node. If the sending operation fails, the node clears the buffer containing control messages.
If the control message is dropped in the surface gateway, it notifies the status of the control message to the
monitoring center. Once the monitoring center detects the loss of control messages,
it successively retransmits the original control message to the surface gateway to support a reliable
transmission. However, excessive retransmission can degrade the overall performance of the system.
Thus, the monitoring center adaptively change the retransmission count according to the wireless channel
status. When they experience severe interference from diverse environmental factors, the center decreases the
retransmission trials to reduce unnecessary transmissions.
Figure 4. The operation flow of the acoustic modem Figure 5. The operation flow of the CDMA module
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3.3. Low power information sharing of surface gateway
The surface gateway can use a low power ZigBee interface to communicate other sensor clusters.
Due to the low power requirement, the gateway selectively use both the CDMA module and the ZigBee
module. The energy consumption of the CDMA module is much higher than the ZigBee module. For this
reason, the gateway shares basic control informaion among sensor clusters via the ZigBee module. When we
perform low power information sharing, we should consider the cross-technology interference (CTI) [7]-[9]
from other wireless technologies such as Wi-Fi, Bluetooth and Bluetooth Low Energy (BLE). If other
devices close to the gateway exchange their informaion through those wireless technologies, they aggrevate
the performance of the low power communication. To investigate the interference, we measure Packet
Delivery Ratio (PDR) of a ZigBee interface in our lab environment. As shown in the Figure 6 we use a
traditional wireless sensor node, called telosB [10], [11] to measure a normal ZigBee performance. Figure 7
shows the interference result of Wi-Fi clients. As the number of Wi-Fi clients increases, the PDR of ZigBee
interfaces are decreased due to the cross-technology interference. To avoid the interference problem in
the surface gateway, we periodically change the operation channel of ZigBee interface after measuring
the interface level.
Figure 6. Experimental setup-interference
measurement
Figure 7. Packer delivery ratio of a ZigBee interface
4. CONCLUSION
In this paper, we introduced the heterogeneous architecture of the surface gateway. The architecture
has multiple wireless interfaces to provide reliable and efficient connectivity. In addition, we proposed the
surface gateway operation flows with multiple interfaces. Our prototype can support a long range
communication with the cellular network providing wider and stronger connection which is possible for
reliable connectivity between the surface gateway and monitoring center. In addition, our prototype can also
support the low power information sharing among surface gateway and tiny sensor nodes. This paper mainly
focus on the cellular and ZigBee network. However, if we embed another module such as WLAN, we can
cover various UASNs scenarios. In addition, considering mobility, an automatically searching the appropriate
wireless channel mechanism is needed for mobile gateway for efficient data transmission in the future.
ACKNOWLEDGEMENTS
This work was supported by the National Research Foundation of Korea(NRF) grant funded by the
Korea government(MSIT) (No. NRF-2018R1C1B5038818).
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[11] TelosB, http://www.memsic.com/userfiles/files/Datasheets/WSN/telosb_datasheet.pdf