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The Scientific World Journal
Volume 2016 (2016), Article ID 8658760, 11 pages
http://dx.doi.org/10.1155/2016/8658760
Research Article

An Enhanced PSO-Based Clustering Energy Optimization Algorithm for Wireless Sensor Network

1Department of Computer Science and Engineering, SNS College of Technology, Coimbatore 641 035, India
2Department of Electrical and Electronics Engineering, SNS College of Technology, Coimbatore 641 035, India
3Department of Computer Science and Engineering, Karpagam College of Engineering, Coimbatore 641 032, India

Received 5 October 2015; Revised 5 December 2015; Accepted 14 December 2015

Academic Editor: Muthu Ramachandran

Copyright © 2016 C. Vimalarani et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Wireless Sensor Network (WSN) is a network which formed with a maximum number of sensor nodes which are positioned in an application environment to monitor the physical entities in a target area, for example, temperature monitoring environment, water level, monitoring pressure, and health care, and various military applications. Mostly sensor nodes are equipped with self-supported battery power through which they can perform adequate operations and communication among neighboring nodes. Maximizing the lifetime of the Wireless Sensor networks, energy conservation measures are essential for improving the performance of WSNs. This paper proposes an Enhanced PSO-Based Clustering Energy Optimization (EPSO-CEO) algorithm for Wireless Sensor Network in which clustering and clustering head selection are done by using Particle Swarm Optimization (PSO) algorithm with respect to minimizing the power consumption in WSN. The performance metrics are evaluated and results are compared with competitive clustering algorithm to validate the reduction in energy consumption.