PSO based Load balancing Wireless Sensor Network design

Load Balancing Clustering Wireless Sensor Network

Wireless Sensor Networks (WSNs) consist of large number of small sized sensor nodes, whose main task is to sense the desired phenomena in a particular region of interest. These networks have large number of applications such as habitat monitoring, security and military etc. Due to the limited and irreplaceable battery source of Wireless Sensor Networks (WSNs), energy efficiency is the major concern in WSNs as it is the key factor for lifetime enhancement. Therefore, optimal usage of energy resources is very essential. Clustering is an efficient methodology for extending the network lifetime by reducing the energy consumption. The objective of this research work is to maximize the lifetime of WSNs. Particle Swarm Optimization (PSO) based load balancing clustering algorithm with optimal placement of CHs is proposed and the lifetime, fitness values and convergence plot for three different scenarios are simulated. The lifetime of optimal CH placement is compared with the fixed CH placement and the results revealed that the optimal CH placement has a better lifetime of 83%.