Clustering in Wireless Sensor Network: A Research

computer science and engineering

Clustering is one of the techniques in the Wireless Sensor Network that can enhance the life time of whole Network through the Cluster Head (CH) selection. Wireless Sensor Networks are mainly characterized by their limited energy supply. Hence, it is important to optimize the energy of Sensor Node for improving the life time of WSN. In this paper, I present an energy aware Clustering for Wireless Sensor Networks by using Particle Swarm Optimization (PSO) algorithm. I compare the performance of PSO with Genetic algorithm (GA) with new fitness function that has the objective minimizing the intra-cluster distance and optimize the energy consumption of network. The performance of our protocol is compared with the well known GA. Simulation result shows that the proposed protocol using PSO algorithm has higher efficiency and can attain better Network lifetime and data delivery at the Base Station (BS) over its comparatives.

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