Maximization Lifetime in Wireless Sensor Network by Fuzzy Logic for Cluster Head Selection
Journal of Electrical and Electronic Engineering
Volume 3, Issue 2-1, March 2015, Pages: 111-115
Received: Nov. 25, 2016; Accepted: Nov. 29, 2016; Published: Dec. 8, 2016
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Ali Pirasteh, Sama Technical and Vocational Training College, Islamic Azad University, Kermanshah Branch, Kermanshah, Iran
Mohammadsajad Ahmadi, Department of Electrical Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran
Hosein Seyedi, Department of Electrical Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran
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Lifetime enhancement has always been of crucial importance for energy constrained sensor network due to resource limitations of sensor nodes. The energy of sensor nodes is mostly utilized for data transmission to the base station. clustering which could increase the network life time indirectly; so, various algorithms have been proposed for clustering and cluster-head selection, and LEACH is one of the most important algorithms. In this article, we offer a new and effective design to cluster and select the best possible cluster-head and also to have the best energy consumption and as a result to increase the network life time, using fuzzy logic inference system. In our offered algorithm, applying some effective and basic parameters in fuzzy inference system, we have increased the network life time and also the mean energy consumption into the LEACH algorithm.
Wireless Sensor Network, Clustering, Fuzzy Logic, Life Time, LEACH Algorithm
To cite this article
Ali Pirasteh, Mohammadsajad Ahmadi, Hosein Seyedi, Maximization Lifetime in Wireless Sensor Network by Fuzzy Logic for Cluster Head Selection, Journal of Electrical and Electronic Engineering. Special Issue: Research and Practices in Electrical and Electronic Engineering in Developing Countries. Vol. 3, No. 2-1, 2015, pp. 111-115. doi: 10.11648/j.jeee.s.2015030201.33
Copyright © 2015 Authors retain the copyright of this article.
This article 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.
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