Cluster head selection using modified ACO

Abstract

WSNs have limited computation power, battery life, and memory resources. In this paper, an approach is introduced to selection cluster head by using swarm intelligence. This proposed approach is based on LEACH clustering algorithm. Modified version of ant colony optimization by using residual energy as a parameter is employed over LEACH algorithm for effective cluster head selection. This approach reduces the amount of energy consumption. The proposed technique work in three stages: Cluster members transmit their data directly to their cluster heads, cluster heads transmit their data to leader, and leader transmits data to the base station. The result shows that LEACH-MA algorithm improves the average energy consumption effectively.