Volume 6, Issue 1, March 2018, Page: 1-9
Performance Analysis for Efficient Cluster Head Selection in Wireless Sensor Network Using RBFO and Hybrid BFO-BSO
A. Rajagopal, Department of Electronics & Instrumentation Engineering, Annamalai University, Chidambaram, India
S. Somasundaram, Department of Electronics & Instrumentation Engineering, Annamalai University, Chidambaram, India
B. Sowmya, Department of Electronics & Communication Engineering, Alpha College of Engineering, Chennai, India
Received: Nov. 18, 2017;       Accepted: Nov. 30, 2017;       Published: Jan. 26, 2018
DOI: 10.11648/j.wcmc.20180601.11      View  1694      Downloads  63
Abstract
Wireless Sensor Network involves in the communication task which demands the devices to form a connected network for collecting and disseminating information through radio transmission. The main objective of the Wireless Sensor Network is to extend the network lifetime in the operational environment, to charge or to exchange the sensor node batteries is probably an impossible/unfeasible activity. The clustered network aims to select CHs that minimize transmission costs and energy. To maximize the network lifetime, optimal CH selection is important. Selections of CH are Non deterministic Polynomial (NP) hard. Recently natural swarm inspired algorithms like Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) have found their way into this domain and proved their effectiveness. In this work the BFO is adapted for cluster head selection so that multiple objectives like reduced packet delivery ratio, improved cluster formation, improved network life time and reduced end to end delay are achieved. Also a novel Hybrid algorithm using Bacterial foraging Optimization (BFO) - Bee swarm Optimization (BSO) is attempted to analysis the number of clustered formed, end to end delay, packet drop ratio and lifetime.
Keywords
Wireless Sensor Network, Cluster Head Selection, Bacterial Forging Optimization (BFO), Bee Swarm Optimization (BSO), Particle Swarm Optimization (PSO)
To cite this article
A. Rajagopal, S. Somasundaram, B. Sowmya, Performance Analysis for Efficient Cluster Head Selection in Wireless Sensor Network Using RBFO and Hybrid BFO-BSO, International Journal of Wireless Communications and Mobile Computing. Vol. 6, No. 1, 2018, pp. 1-9. doi: 10.11648/j.wcmc.20180601.11
Copyright
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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