EODC: An Energy Optimized Dynamic Clustering protocol for Wireless Sensor Networks using PSO approach

Abstract

A Wireless Sensor Network comprises many small wireless nodes that helps to sense, gather, process and communicate. One of its primary concerns is to optimize the consumption of energy and extend the network lifespan. The sensor nodes can be clustered to increase its lifespan further and this can be accomplished by choosing cluster head for every cluster and by performing data fusion on the cluster head (CH). The proposed system is using an energy efficient hierarchical routing protocol named Energy Optimized Dynamic Clustering (EODC) for clustering large ad-hoc WSNs and direct the data to reach the sink. The collected data is received by the sink from the set of cluster heads after every round. The cluster head is selected using the Particle Swarm Optimization (PSO) approach; the allocation of cluster members is based on the Manhattan distance. The metrics used to find the fitness function are location, link quality, energy of the active and inactive nodes. The system employs the shortest path approach to communicate between the cluster heads till it reaches the base station. By this, the energy efficiency and network lifetime have been increased. The analysis and outcomes show that the EODC was found to outperform the existing protocol which compares with this algorithm.