Analysis of Load Balancing Technique using Clustering Approach by PSO Algorithm

Abstract

Wireless sensor Networks made up of nodes, where each node is connected to one or more number of sensors. WSN consists of a large number of low-cost, low-power, multifunctional sensor nodes. The life of sensors depends on their energy. When sensors in the network communicate with each other their energy get lowered and after some time they may die and because of that the network fails. Therefore our aim is to reduce the energy consumption and increase the sensor network lifetime. As the energy available in the sensor nodes used in WSN is limited, therefore we are trying to propose the technique to maximize lifetime of WSN by PSO algorithm. In this paper the selection of cluster head is done via PSO algorithm. Particle Swarm Optimization (PSO) is the technique used for placing the sink node. The sink node is at optimal position. The cluster head is selected on the basis of energy of the clusters and connectivity among the clusters. The cluster head then communicate with the Base Station (BS).