Genetic Algorithm Based Node Deployment in Hybrid Wireless Sensor Networks

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Communications and Network

ISSN Print: 1949-2421
ISSN Online: 1947-3826
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"Genetic Algorithm Based Node Deployment in Hybrid Wireless Sensor Networks"
written by Omar Banimelhem, Moad Mowafi, Walid Aljoby,
published by Communications and Network, Vol.5 No.4, 2013

has been cited by the following article(s):

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[17]	An Energy-Efficient Protocol Based on Semi-Random Deployment Algorithm in Wireless Sensors Networks
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[18]	Hybrid Wireless Sensors Deployment Scheme with Connectivity and Coverage Maintaining in Wireless Sensor Networks
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[60]	An efficient deployment approach for improved coverage in wireless sensor networks based on flower pollination algorithm
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[61]	An adaptive static-sensor network deployment strategy for detecting mobile targets
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[62]	A ROBUST HARMONY SEARCH ALGORITHM BASED MARKOV MODEL FOR NODE DEPLOYMENT IN HYBRID WIRELESS SENSOR NETWORKS
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[63]	Positionnement optimal des capteurs pour l'augmentation de la durée de vie du réseau de capteurs
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[65]	Optimization of Sensor Deployment Using Multi-objective Evolutionary Algorithms
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[66]	Coverage optimization in a terrain-aware wireless sensor network
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[67]	AN EFFICIENT DEPLOYMENT APPROACH FOR IMPROVED COVERAGE IN WIRELESS SENSOR NETWORKS BASED ON FLOWER POLLINATION …
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[72]	An -Based Multi-Objective WSN Deployment Example for Lunar Surveying
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[75]	A comparative study on performances of sensor deployment algorithms in WSN
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[76]	Utilisation of multi-objective immune deployment algorithm for coverage area maximisation with limit mobility in wireless sensors networks
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[77]	Metaheuristics for the deployment problem of WSN: A review
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[78]	Improving Coverage Deployment for Dynamic Nodes using Genetic Algorithm in Wireless Sensor Networks
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[79]	The Deployment in the Wireless Sensor Networks: Methodologies, Recent Works and Applications
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[80]	The 3D Deployment Multi-objective Problem in Mobile WSN: Optimizing Coverage and Localization
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[81]	Coverage Aware Scheduling in Wireless Sensor Networks: An Optimal Placement Approach
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[82]	Dynamic Deployment of Homogeneous Sensor Nodes Using Genetic Algorithm with Maximum Coverage
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[83]	Rearrangement of mobile wireless sensor nodes for coverage maximization based on immune node deployment algorithm
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[84]	Evolutionary-based Wireless Sensor Deployment for Target Coverage
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[85]	Remote Holes Detection Algorithms for Wireless Sensor Networks
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[86]	A Novel Security Framework based on Genetics for Clustered Wireless Sensor Networks
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[87]	Coverage maximization in mobile Wireless Sensor Networks utilizing immune node deployment algorithm
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[89]	Remote Holes Detection Algorithms for Wireless Sensor Networks.
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[90]	An Overview of the deployment paradigms in the Wireless Sensor Networks
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[1]	Coverage hole optimization with a mobile sensor in wireless sensor networks for smart grid Ad Hoc Networks, 2023 DOI:10.1016/j.adhoc.2022.103039

[2]	ESPINA: efficient and secured protocol for emerging IoT network applications Cluster Computing, 2023 DOI:10.1007/s10586-021-03493-z

[3]	Exploration of different topologies for optimal sensor nodes deployment in wireless sensor networks using jaya-sine cosine optimization algorithm The Journal of Supercomputing, 2023 DOI:10.1007/s11227-023-05147-w

[4]	Coverage hole optimization with a mobile sensor in wireless sensor networks for smart grid Ad Hoc Networks, 2023 DOI:10.1016/j.adhoc.2022.103039

[5]	Exploration of different topologies for optimal sensor nodes deployment in wireless sensor networks using jaya-sine cosine optimization algorithm The Journal of Supercomputing, 2023 DOI:10.1007/s11227-023-05147-w

[6]	POSIMNET-R: An immunologic resilient approach to position routers in Industrial Wireless Sensor Networks Expert Systems with Applications, 2022 DOI:10.1016/j.eswa.2021.116045

[7]	POSIMNET-R: An immunologic resilient approach to position routers in Industrial Wireless Sensor Networks Expert Systems with Applications, 2022 DOI:10.1016/j.eswa.2021.116045

[8]	ESPINA: efficient and secured protocol for emerging IoT network applications Cluster Computing, 2022 DOI:10.1007/s10586-021-03493-z

[9]	Temporal Graphs and Temporal Network Characteristics for Bio-Inspired Networks during Optimization Applied Sciences, 2022 DOI:10.3390/app12031315

[10]	Using Redundancy in a Sensor Network to Compensate Sensor Failures 2021 IEEE Sensors, 2021 DOI:10.1109/SENSORS47087.2021.9639479

[11]	Development and Future of Internet of Drones (IoD): Insights, Trends and Road Ahead Studies in Systems, Decision and Control, 2021 DOI:10.1007/978-3-030-63339-4_1

[12]	Nature-Inspired Computing for Smart Application Design Springer Tracts in Nature-Inspired Computing, 2021 DOI:10.1007/978-981-33-6195-9_7

[13]	Maximum Geographical Coverage Deployment of Ambulances using Genetic Algorithm 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), 2021 DOI:10.1109/ICICV50876.2021.9388381

[14]	Result Analysis of Implementing Bacterial Foraging Technique and Genetic Algorithm in Sensor Deployment 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), 2021 DOI:10.1109/ICICV50876.2021.9388414

[15]	Evolutionary Algorithms for Deployment of Sensor Nodes in Wireless Sensor Networks: A Comprehensive Review 2021 2nd International Conference for Emerging Technology (INCET), 2021 DOI:10.1109/INCET51464.2021.9456410

[16]	Semi-Deterministic Deployment based Area Coverage Optimization in Mobile WSN 2021 IEEE Global Communications Conference (GLOBECOM), 2021 DOI:10.1109/GLOBECOM46510.2021.9685760

[17]	Coverage and Energy Analysis of Mobile Sensor Nodes in Obstructed Noisy Indoor Environment: A Voronoi-Approach IEEE Transactions on Mobile Computing, 2020 DOI:10.1109/TMC.2020.3046184

[18]	Coverage and Energy Analysis of Mobile Sensor Nodes in Obstructed Noisy Indoor Environment: A Voronoi-Approach IEEE Transactions on Mobile Computing, 2020 DOI:10.1109/TMC.2020.3046184

[19]	Sensor Technology 2020 DOI:10.4018/978-1-7998-2454-1.ch051

[20]	Hybrid Wireless Sensors Deployment Scheme with Connectivity and Coverage Maintaining in Wireless Sensor Networks Wireless Personal Communications, 2020 DOI:10.1007/s11277-020-07132-5

[21]	A Cross Layer Design and Flower Pollination Optimization Algorithm for Secured Energy Efficient Framework in Wireless Sensor Network Wireless Personal Communications, 2020 DOI:10.1007/s11277-020-07118-3

[22]	A Hybrid Voronoi Tessellation/Genetic Algorithm Approach for the Deployment of Drone-Based Nodes of a Self-Organizing Wireless Sensor Network (WSN) in Unknown and GPS Denied Environments Drones, 2020 DOI:10.3390/drones4030033

[23]	A Two-Phase Lifetime-Enhancing Method for Hybrid Energy-Harvesting Wireless Sensor Network IEEE Sensors Journal, 2020 DOI:10.1109/JSEN.2019.2948620

[24]	A new multi-agent particle swarm algorithm based on birds accents for the 3D indoor deployment problem ISA Transactions, 2019 DOI:10.1016/j.isatra.2019.01.026

[25]	Hybrid WSN Node Deployment optimization Strategy Based on CS Algorithm 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), 2019 DOI:10.1109/ITNEC.2019.8729481

[26]	Particle Swarm Optimization Based Deployment for WSN with the Existence of Obstacles 2019 5th International Conference on Control, Automation and Robotics (ICCAR), 2019 DOI:10.1109/ICCAR.2019.8813498

[27]	3D node deployment strategies prediction in wireless sensors network International Journal of Electronics, 2019 DOI:10.1080/00207217.2019.1687759

[28]	An Optimal Approach for Deployment Sensors in WSN Journal of Communications, 2018 DOI:10.12720/jcm.13.3.124-128

[29]	The 3D indoor deployment in DL-IoT with experimental validation using a particle swarm algorithm based on the dialects of songs 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC), 2018 DOI:10.1109/IWCMC.2018.8450473

[30]	A Review of Computational Intelligence Techniques in Wireless Sensor and Actuator Networks IEEE Communications Surveys & Tutorials, 2018 DOI:10.1109/COMST.2018.2850220

[31]	A Two-Phase Coverage-Enhancing Algorithm for Hybrid Wireless Sensor Networks Sensors, 2017 DOI:10.3390/s17010117

[32]	Efficient scalable sensor node placement algorithm for fixed target coverage applications of wireless sensor networks IET Wireless Sensor Systems, 2017 DOI:10.1049/iet-wss.2016.0076

[33]	Multi-objective Node Placement Considering Non-uniform Event Pattern Wireless Personal Communications, 2017 DOI:10.1007/s11277-017-4834-7

[34]	Spatiotemporal Adaptive Optimization of a Static-Sensor Network via a Non-Parametric Estimation of Target Location Likelihood IEEE Sensors Journal, 2017 DOI:10.1109/JSEN.2016.2638623

[35]	An efficient coverage in wireless sensor networks using fuzzy logic-based control for the mobile node movement 2017 Advances in Wireless and Optical Communications (RTUWO), 2017 DOI:10.1109/RTUWO.2017.8228541

[36]	An improved immune algorithm for node relocation to maximize confident information coverage in a hybrid sensor network 2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), 2017 DOI:10.1109/UIC-ATC.2017.8397492

[37]	Exact and Efficient Heuristic Deployment in WSN under Coverage, Connectivity, and Lifetime Constraints International Journal of Mobile Computing and Multimedia Communications, 2017 DOI:10.4018/IJMCMC.2017040103

[38]	An ACOR-Based Multi-Objective WSN Deployment Example for Lunar Surveying Sensors, 2016 DOI:10.3390/s16020209

[39]	A Dynamic Approach to Sensor Network Deployment for Mobile-Target Detection in Unstructured, Expanding Search Areas IEEE Sensors Journal, 2016 DOI:10.1109/JSEN.2016.2537331

[40]	Coverage optimization in a terrain-aware wireless sensor network 2016 IEEE Congress on Evolutionary Computation (CEC), 2016 DOI:10.1109/CEC.2016.7744256

[41]	Optimization of sensor deployment using multi-objective evolutionary algorithms Journal of Reliable Intelligent Environments, 2016 DOI:10.1007/s40860-016-0030-x

[42]	Comparative review of coverage algorithms in wireless mobile sensor networks 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), 2016 DOI:10.1109/ICEEOT.2016.7754865

[43]	An adaptive static-sensor network deployment strategy for detecting mobile targets 2016 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), 2016 DOI:10.1109/SSRR.2016.7784269

[44]	Coverage Aware Scheduling in Wireless Sensor Networks: An Optimal Placement Approach Wireless Personal Communications, 2015 DOI:10.1007/s11277-015-2862-8

[45]	Utilisation of multi-objective immune deployment algorithm for coverage area maximisation with limit mobility in wireless sensors networks IET Wireless Sensor Systems, 2015 DOI:10.1049/iet-wss.2014.0085

[46]	Evolutionary-Based Wireless Sensor Deployment for Target Coverage 2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), 2015 DOI:10.1109/SITIS.2015.62

[47]	A comparative study on performances of sensor deployment algorithms in WSN 2015 39th National Systems Conference (NSC), 2015 DOI:10.1109/NATSYS.2015.7489081

[48]	Coverage maximization in mobile Wireless Sensor Networks utilizing immune node deployment algorithm 2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering (CCECE), 2014 DOI:10.1109/CCECE.2014.6901069

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