PSO based Energy Efficient Routing Protocol using equal size clustering approach in Wireless Sensor Network

This research work examines the competing issues of energy consumption efficiency in wireless sensor networks. For this purpose, we considered a multi-objective Particle Swarm Optimization (PSO) in the selection of Cluster Head (CH) in such a way so that its energy is used uniformly with load balancing among clusters for delayed disintegration of network. LEACH algorithm based random clustering approach has been replaced by PSO clustering. The improved PSO protocol has been compared with random LEACH, Max Energy LEACH and k-means algorithm, and simple PSO which cluster only for space equi-distribution not for the load balancing among clusters., Wireless sensor network (WSN) is simulated using a MATLAB programming and power consumption algorithms take into consideration all aspects of power consumption in the operation of the node. Simulating different algorithm schemes on the same network system, same initial power sources, and routing protocol, an increase of overall system lifetime is demonstrated. The performance of PSO cluster based routing protocol shows improvements in lifetime but Max Energy LEACH perform better in network disintegration criterion