Energy Optimization using Particle Swarm Optimization based on Clustering for Wireless Sensor Network

Wireless Sensor Network (WSN) is a self-organizing network which formed with huge sensors which are located in an application specific environment to monitor the physical pheromone like temperature, fire, and pressure. Mostly sensors are equipped with battery power through which they can perform sufficient operations and communication among neighboring nodes. Researchers for WSNs face challenge that arises from limited energy. Maximizing the lifetime of the WSN, energy conservation measures are essential for improving the performance of WSNs. Particle Swarm Optimization (PSO) is used to form clustering and select cluster head with respect to minimizing the power consumption in WSN. This paper discusses about energy optimization using PSO based on clustering algorithms for WSN, which aims to extend network lifetime.