Particle Swarm Optimization based Load Balancing Clustering Technique for Wireless Sensor Networks
Amrieen. S. I, K. Mohaideen Abdul Kadhar, Sathiya Girija. H · 2020
Energy efficiency is the major concern in Wireless Sensor Networks (WSNs) as it is the key factor for lifetime enhancement. Due to the limited and irreplaceable battery source of WSNs, optimal usage of energy resources is very essential. Therefore, Clustering is an efficient methodology for extending the network lifetime by reducing the energy consumption. The objective of this paper is to maximize the lifetime of WSNs. In this paper, 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. Finally, the lifetime of optimal CH placement is compared with the fixed CH placement and the results revealed that the lifetime of optimal CH placement is superior.