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The Scientific World Journal
Volume 2015 (2015), Article ID 780879, 7 pages
http://dx.doi.org/10.1155/2015/780879
Research Article

Synchronous Firefly Algorithm for Cluster Head Selection in WSN

1Department of Computer Science, Er.Perumal Manimekalai College of Engineering, Hosur, Tamil Nadu 635117, India
2Er.Perumal Manimekalai College of Engineering, Hosur, Tamil Nadu 635117, India

Received 5 August 2015; Accepted 27 August 2015

Academic Editor: Anand Paul

Copyright © 2015 Madhusudhanan Baskaran and Chitra Sadagopan. 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) consists of small low-cost, low-power multifunctional nodes interconnected to efficiently aggregate and transmit data to sink. Cluster-based approaches use some nodes as Cluster Heads (CHs) and organize WSNs efficiently for aggregation of data and energy saving. A CH conveys information gathered by cluster nodes and aggregates/compresses data before transmitting it to a sink. However, this additional responsibility of the node results in a higher energy drain leading to uneven network degradation. Low Energy Adaptive Clustering Hierarchy (LEACH) offsets this by probabilistically rotating cluster heads role among nodes with energy above a set threshold. CH selection in WSN is NP-Hard as optimal data aggregation with efficient energy savings cannot be solved in polynomial time. In this work, a modified firefly heuristic, synchronous firefly algorithm, is proposed to improve the network performance. Extensive simulation shows the proposed technique to perform well compared to LEACH and energy-efficient hierarchical clustering. Simulations show the effectiveness of the proposed method in decreasing the packet loss ratio by an average of 9.63% and improving the energy efficiency of the network when compared to LEACH and EEHC.