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Hybrid PSO based Leach Algorithm for Reducing Energy Consumption in Wireless Sensor Networks
ANSHULI RAINA, SHONAK BANSAL Department of Electronics and Communication Engineering, Instistute of Science and Technology, Klawad, India
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Abstract: An evolutionary algorithm for reducing energy consumption in wireless sensor networks (WSNs) is presented in this paper. Metaheuristic particle swarm optimization (PSO) algorithm and its variants is used for the selection of Cluster Head (CH) in such a manner so that its energy used uniformly with the delayed disintegration of the network. For this purpose, the LEACH algorithm, random clustering approach has been replaced by PSO clustering. The PSO variants Gbest and Lbest are used for clustering .A new hybrid PSO is also proposed for node clustering for which improved performance has been achieved. Simulation results show the improvement in energy conservation if we employ Hybrid PSO.
Keywords: Metahurastic Algorithm, Partical Swarm Optimization, LEACH Algorithm, Cluster head, Hybrid PSO
Keywords: Metahurastic Algorithm, Partical Swarm Optimization, LEACH Algorithm, Cluster head, Hybrid PSO
How to Cite:
[1] ANSHULI RAINA, SHONAK BANSAL Department of Electronics and Communication Engineering, Instistute of Science and Technology, Klawad, India, “Hybrid PSO based Leach Algorithm for Reducing Energy Consumption in Wireless Sensor Networks,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
