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Reseach Article

Fuzzy based Energy Efficient Clustering Protocols for WSN Systems: A Survey

Published on May 2013 by Chander Mohan, Suman, Ashok Kumar
National Conference on Structuring Innovation Through Quality SITQ 2013
Foundation of Computer Science USA
SITQ - Number 1
May 2013
Authors: Chander Mohan, Suman, Ashok Kumar
b325efe2-8aeb-490a-a633-6438215cf42d

Chander Mohan, Suman, Ashok Kumar . Fuzzy based Energy Efficient Clustering Protocols for WSN Systems: A Survey. National Conference on Structuring Innovation Through Quality SITQ 2013. SITQ, 1 (May 2013), 8-11.

@article{
author = { Chander Mohan, Suman, Ashok Kumar },
title = { Fuzzy based Energy Efficient Clustering Protocols for WSN Systems: A Survey },
journal = { National Conference on Structuring Innovation Through Quality SITQ 2013 },
issue_date = { May 2013 },
volume = { SITQ },
number = { 1 },
month = { May },
year = { 2013 },
issn = 0975-8887,
pages = { 8-11 },
numpages = 4,
url = { /proceedings/sitq/number1/12053-1305/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Structuring Innovation Through Quality SITQ 2013
%A Chander Mohan
%A Suman
%A Ashok Kumar
%T Fuzzy based Energy Efficient Clustering Protocols for WSN Systems: A Survey
%J National Conference on Structuring Innovation Through Quality SITQ 2013
%@ 0975-8887
%V SITQ
%N 1
%P 8-11
%D 2013
%I International Journal of Computer Applications
Abstract

Wireless Sensor Networks are utilized for collecting physical information from a distant place by using sensing devices called sensors. In order to collect information more efficiently, wireless sensor networks (WSNs) are partitioned into clusters. This approach is an effective way to prolong the lifetime of WSNs. While using clustering approach the major concern is the choice of a suitable cluster head sensor node. Many clustering protocols already formed based on LEACH [15] (Low Energy Adaptive Clustering Hierarchy) which is based on probabilistic modeling. In this paper, we present a survey of various clustering protocols for prolonging the lifetime of WSNs using fuzzy logic approach. The paper concludes with open research issues.

References
  1. Sharma T. , Kumar B. , 2012. "F-MCHEL: Fuzzy Based Master Cluster Head Election Leach Protocol in Wireless Sensor Network", International Journal of Computer Science and Telecommunications, Vol. 3, Issue 10, pp. 8-13.
  2. Singh A. K. , Goutele S. , Verma S. , Purohit N. , 2012. "An Energy Efficient Approach for Clustering in WSN using Fuzzy Logic", International Journal of Computer Applications, Vol. 44, No. 18, pp. 8-12.
  3. Alkesh A. , Singh A. K. , Purohit N. , 2011. "A Moving Base Station Strategy Using Fuzzy Logic for Lifetime Enhancement in Wireless Sensor Network", IEEE International Conference on Communication Systems and Network Technologies, pp. 198-202.
  4. Gupta M. , Prasad D. , Patel R. B. , 2010. "FREEDOM: Fault Revoking and Energy Efficient Protocol for the Deployment of Mobile Sensor Nodes in Wireless Sensor Networks", International Journal of Advanced Engineering Sciences and Technologies, Vol. 1, Issue 1, pp. 001-009.
  5. Ando H. , Barolli L. , Durresi A. , Xhafa F. , Koyama A. , 2010. "An Intelligent Fuzzy-based Cluster Head Selection for Wireless Sensor Networks and its Performance Evaluation", 13th International Conference on Network-Based Information Systems, pp. 55-61.
  6. Kumar D. , Aseri T. C. , Patel R. B. , 2009. "EEHC: Energy efficient heterogeneous clustering scheme for wireless sensor networks", Elsevier Computer Communications Journal, Vol. 32, Issue 4, pp. 662-667.
  7. Kim. J. M. , Park S. H. , Han Y. , Chung T. M. , 2008. "CHEF: Cluster Head Election mechanism using Fuzzy Logic in Wireless Sensor Networks", Proceeding of International Conference on Advance Communications Technology, pp. 654-659.
  8. Nguyen L. T. , Defago X. , Beuran R. , Shinoda Y. , 2008. "An Energy Efficient Routing Scheme for Mobile Wireless Sensor Networks", IEEE ISWCS, pp. 568-572.
  9. I. Gupta, D. Riordan, and S. Sampalli, 2005. "Cluster head election using fuzzy logic for wireless sensor networks," in Proceeding of Annual Conference on Communication Networks Services, pp. 255–260.
  10. Muruganathan S. D. , Ma D. C. F. , Bhasin R. I. , Fapojuwo A. O. , 2005. "A Centralized Energy-Efficient Routing Protocol for Wireless Sensor Networks", IEEE Radio Communications, pp. S8-S13.
  11. Manjeshwar A. , Agrawal D. P. , 2002. "APTEEN: A Hybrid Protocol for Efficient Routing and Comprehensive Information Retrieval in Wireless Sensor Networks", Proceeding of 2nd International Workshop on Parallel and Distributed Computing Issues in Wireless Networks and Mobile Computing, pp. 195-202.
  12. Lindsey S. , Raghavendra C. S. , 2002. "PEGASIS: Power-Efficient Gathering in Sensor Information Systems", Proceeding of IEEE Aerospace Conference, pp. 1125-1130.
  13. Heinzelman W, Chandrakasan A, Balakrishnan H. , 2002. "An Application-Specific Protocol Architecture for Wireless Microsensor Networks", IEEE Transactions on Wireless Communications, Vol. 1, No. 4, pp. 660-670.
  14. Manjeshwar A. , Agrawal D. P. , 2001. "TEEN: A Routing Protocol for Enhanced Efficiency in Wireless Sensor Networks", Proceedings of 15th International Symposium on Parallel and Distributed Processing, pp. 2009-2015.
  15. Heinzelman W. , Chandrakasan A. , Balakrishnan H. , "Energy-Efficient Communication Protocol for Wireless Microsensor Networks", Proceeding of 33rd Hawaii International Conference on System Sciences held at Maui, USA pp. 3005-3014
Index Terms

Computer Science
Information Sciences

Keywords

Cluster Head Leach Fuzzy Logic Wireless Sensor Networks.