PSO Based Clustering Approach for Mobile Wireless Sensor Network

Abstract

In several domains like disaster hit areas, agriculture, military, health care, defense, etc., Mobile Wireless Sensor Networks (MWSNs) have been employed. When the sensor nodes are resource limited, the main attribute which act as a key role in modeling MWSNs protocol are its computational feasibility and energy efficiency. The Sensor nodes distance variation from inter node distances and base station (BS) initially leads to unequivalent energy utilization between the sensor nodes. The utilization of energy differs with period and cause system performance deprivation. LEACH is the primarily clustered depended routing protocol that gives fine solutions, endures from the disadvantages in order to the cluster head (CH) selection that are randomized. With the conventional clustering algorithm, considering severe energy rebalancing, a Particle Swarm Optimization (PSO) based clustering method that examines the fitness function through assuming the two main attributes (distance and energy) is projected in this paper. PSO is a search depended method which is probabilistic method depends on the natural selection principle and evolution. Experimental outcomes verifies that the projected protocol performs well when compared LEACH protocol with better network lifetime.