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.
I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, "Wireless sensor networks: a survey," Computer Communications vol. 38, no. 4, pp. 393-422, 2004.
J. Yick, B. Mukherjee, and D. Ghosal, "Wireless sensor network survey," Computer Networks, vol. 52, no.12, pp. 2292-2330, 2008.
W. Heinzelman, A. Chandrakasan and H. Balakrishnan, “Energy-Efficient Communication Protocol for Wireless Microsensor Networks”, In proceedings of the 33rd Hawaii International Conference on System Sciences (HICSS '00), January 2007.
J. Kim, S. Park, Y. Han and T. Chung, “CHEF: Cluster Head Election mechanism using Fuzzy logic in Wireless Sensor Networks”, 10th International Conference on Advanced Communication Technology, ICACT 2008. pp. 654 – 659, Feb 2008.
Ran, H. Z., “Improving on LEACH Protocol of Wireless Sensor Networks Using Fuzzy Logic,” Journal of Information & Computational Science, vol. 7(3), pp. 767-775, 2010.
W. Heinzelman, A. Chandrakasan, and H. Balakrishnan. “An application-specific protocol architecture for wireless microsensor networks”, in IEEE Transactions on Wireless Communications, 1(4), pp. 660-670, Oct 2008.
Ameer Ahmed Abbasi, Mohamed F. Younis, "A survey on clustering algorithms for wireless sensor networks.," Computer Communications, Vols. 30(14-15):, pp. 2826-2841, 2009.
Heinzelman, A. Chandrakasan and H. Balakrishnan, "An application-specific protocol architecture for wireless microsensor networks", in IEEE Transactions on Wireless communications, pp. 660 - 670, Oct 2009.
Z. Qin, M. Bai and D. Ralescu, "A fuzzy control system with application to production planning problems", Information Sciences Elsevier Volume 181, Issue 5, PP 1018-1027, 1 March 2010.
A. K. Singh، N. Purohit, K. P. Singh، M. Shukla, “A novel approach for lifetime analysis of sensor network using fuzzy logic” IEEE India Conference (INDICON), PP 568-574. Dec. 2011.
T. Shu, M. Krunz, and S. Vrudhula, “Power balanced coverage-time optimization for clustered wireless sensor networks,” in Proceedingsof the 6th ACM international symposium on Mobile ad hoc networking and computing. ACM, PP 256-300 feb 2012.
O. Younis, M. Krunz, and S. Ramasubramanian, “Node clustering in wireless sensor networks: Recent developments and deployment challenges,” IEEE Network, vol. 20, no. 3, pp. 20–25, M 2013.
Nasrin Abazari Torghabeh, Mohammad Reza Akbarzadeh, Mohammad Hossein Yaghmaee, “Cluster Head Selection using a Two-Level Fuzzy Logic in Wireless Sensor Networks”, 2nd International conference on Computer Engineering and Technology (ICCET), pp. 357-361, M 2014.
D. C. Hoang, R. Kumar, S. K. Panda, “Fuzzy C-Means Clustering Protocol for Wireless Sensor Networks”, IEEE International Symposium on Industrial Electronics (ISIE) pp. 3477-3482,2010.M. Young, The Technical Writer’s Handbook. Mill Valley, CA: University Science, 2014.
Zohre Arabi, “HERF: A Hybrid Energy Efficient Routing using a Fuzzy Method in Wireless Sensor Networks”, International Conference on Intelligent and Advanced Systems (ICIAS), PP 896-901, Oct 2014.
Chung-ming, Shau-yuan lu, Cheng ya teng, “Location Aware Sensor and Fuzzy Data Mule”, Proceedings of the Ninth International Conference on Machine Learning and Cybernetics, Qingdao, pp. 2535-2640, July 2014.
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