CFP last date
20 January 2025
Reseach Article

An Energy Efficient Approach for Clustering in WSN using Fuzzy Logic

by Ashutosh Kumar Singh, N. Purohit, Sandeep Goutele, S.verma
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 44 - Number 18
Year of Publication: 2012
Authors: Ashutosh Kumar Singh, N. Purohit, Sandeep Goutele, S.verma
10.5120/6361-7575

Ashutosh Kumar Singh, N. Purohit, Sandeep Goutele, S.verma . An Energy Efficient Approach for Clustering in WSN using Fuzzy Logic. International Journal of Computer Applications. 44, 18 ( April 2012), 8-12. DOI=10.5120/6361-7575

@article{ 10.5120/6361-7575,
author = { Ashutosh Kumar Singh, N. Purohit, Sandeep Goutele, S.verma },
title = { An Energy Efficient Approach for Clustering in WSN using Fuzzy Logic },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 44 },
number = { 18 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 8-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume44/number18/6361-7575/ },
doi = { 10.5120/6361-7575 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:35:51.336418+05:30
%A Ashutosh Kumar Singh
%A N. Purohit
%A Sandeep Goutele
%A S.verma
%T An Energy Efficient Approach for Clustering in WSN using Fuzzy Logic
%J International Journal of Computer Applications
%@ 0975-8887
%V 44
%N 18
%P 8-12
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Lifetime augmentation has always been an interesting subject of vital significance in wireless sensor networks. Excess extent of energy is dissipated during data transmission to the base station (sink) from normal sensor nodes. Clustering is an efficacious way of augmenting the life span by optimizing (reducing) the energy dissipation of WSNs. Many numbers of researchers have employed fuzzy logic based solution for election of cluster- head in the earlier past. In our proposed scheme two strong parameters; energy and centrality have been considered for cluster head decision. In this work we assumed both the parameters simultaneously to elect cluster head which makes this approach energy efficient and more feasible. Simulation results are contrasted with the former approaches of cluster-head election. Simulation results exhibits that the proposed scheme minimizes energy consumption and thereby enhances life span of wireless sensor network by a significant amount.

References
  1. Q. Liang, "Clusterhead election for mobile ad hoc wireless network," in Proc. 14th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, (PIMRC) , pp. 1623 -1628, Sept. 2003.
  2. Indranil Gupta, Denis Riordan and Srinivas Sampalli, "Cluster-head Election using Fuzzy Logic for Wireless Sensor Networks", the 3rd Annual Communication Networks and Services Research Conference (CNSR'05), pp. 255 - 260, 2005.
  3. Jong-Myoung Kim, Seon-Ho Park, Young-Ju Han and Tai-Myoung Chung, "CHEF: Cluster Head Election mechanism using Fuzzy logic in Wireless Sensor Networks", Advanced Communication Technology, 2008. ICACT 2008. 10th International Conference, pp. 654 – 659, vol. 1, 2008.
  4. Junpei Annoa, Leonard Barollib, Arjan Durresic, Fatos Xhafad and Akio Koyamae, "Performance evaluation of two fuzzy-based cluster head selection systems for wireless sensor networks", Network-Based Information Systems (NBiS), 2010 13th International Conference pp. 55-61, 2010.
  5. Ning Sun, Nai-bin Su and Sang-ho Lee, "A Lifetime Extended Routing Protocol Based on Data Threshold in Wireless Sensor Networks", 10th IEEE International Conference on Computer and Information Technology (CIT 2010), pp. 743-748, 2010.
  6. Rong Ding, Bing Yang, Lei Yang and Jiawei Wang, "Soft Threshold Based Cluster-head Selection Algorithm for Wireless Sensor Networks", Third International Conference on Sensor Technologies and Applications, pp. 526-530, 2009.
  7. Nasrin Abazari Torghabeh, Mohammad Reza Akbarzadeh Totonchi and Mohammad Hossein Yaghmaee Moghaddam, "Cluster Head Selection using a Two-Level Fuzzy Logic in Wireless Sensor Networks", Computer Engineering and Technology (ICCET), 2010 2nd International Conference, pp. 357-361, vol. 2, 2010.
  8. Hironori Ando, Leonard Barolli, Arjan Durresi, Fatos Xhafa, and Akio Koyama, "An Intelligent Fuzzy-based Cluster Head Selection System for Wireless Sensor Networks and Its Performance Evaluation", 13th International Conference on Network-Based Information Systems, pp. 55-61, 2010.
  9. Hironori Ando, Leonard Barolli, Arjan Durresi, Fatos Xhafa, and Akio Koyama, "An Intelligent Fuzzy-based Cluster Head Selection System for WSNs and ItsPerformance Evaluation for D3N Parameter", International Conference on Broadband, Wireless Computing, Communication and Applications, pp. 648-653, 2010.
  10. Sudakshina Dasgupta and Paramartha Dutta, "An improved Leach approach for Head selection Strategy in a Fuzzy-C Means induced clustering of a Wireless Sensor Network", IEMCON 2011 organised by IEM in collaboration with IEEE on 5th & 6th of Jan,2011, pp. 203-208, 2010.
  11. Xiao Fu and Zhenhua Yu, "A Reliable and Efficient Clustering Algorithm for Wireless Sensor Networks Using Fuzzy Petri Nets", Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference, pp. 1-4, 2010.
  12. A. Manjeshwar; D. P. Agrawal, "TEEN : A routing protocol for enhanced efficiency in wireless sensor networks", 15th International Parallel and Distributed Processing Symposium, pp. 2009-2015, Apr 2001.
  13. N. Eshghi and A. T. Haghighat,"Energy Conservation Strategy in Clusterbased Wireless Sensor Network", IEEE ICACTE, pp. 1015- 1019, 2008
Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Logic wireless Sensor Network cluster-head Election