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Reseach Article

An Energy-Efficiency Protocol in Wireless Sensor Networks using Theory of Games and Fuzzy Logic

by Mahnaz Esmaeeli, Seyed Ali Hosseini Ghahroudi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 126 - Number 1
Year of Publication: 2015
Authors: Mahnaz Esmaeeli, Seyed Ali Hosseini Ghahroudi
10.5120/ijca2015905969

Mahnaz Esmaeeli, Seyed Ali Hosseini Ghahroudi . An Energy-Efficiency Protocol in Wireless Sensor Networks using Theory of Games and Fuzzy Logic. International Journal of Computer Applications. 126, 1 ( September 2015), 8-13. DOI=10.5120/ijca2015905969

@article{ 10.5120/ijca2015905969,
author = { Mahnaz Esmaeeli, Seyed Ali Hosseini Ghahroudi },
title = { An Energy-Efficiency Protocol in Wireless Sensor Networks using Theory of Games and Fuzzy Logic },
journal = { International Journal of Computer Applications },
issue_date = { September 2015 },
volume = { 126 },
number = { 1 },
month = { September },
year = { 2015 },
issn = { 0975-8887 },
pages = { 8-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume126/number1/22514-2015905969/ },
doi = { 10.5120/ijca2015905969 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:16:17.028938+05:30
%A Mahnaz Esmaeeli
%A Seyed Ali Hosseini Ghahroudi
%T An Energy-Efficiency Protocol in Wireless Sensor Networks using Theory of Games and Fuzzy Logic
%J International Journal of Computer Applications
%@ 0975-8887
%V 126
%N 1
%P 8-13
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Today, cluster-based routing protocols achieve the highest efficiency in network life duration and network coverage- as compared with other routing methods- by dividing neighboring nodes into separate clusters and selecting local cluster heads for each node data combination and transmission to the basic station as well as by consuming energy in a balanced way. This study offers a centralized energy-based clustering protocol for WSNs on the basis of game theory and fuzzy logic in order to cluster network nodes by considering energy level and proximity of nodes. The simulation findings reveal the protocol's high efficiency in network life as compared with LEACH and other algorithms.

References
  1. ZhixinLiua, QingchaoZhenga, LiangXuea, XinpingGuan. A distributed energy-efficient clustering algorithm with improved coveragein wireless sensor networks. Future Generation Computer Systems. 2012. 28:780–790.
  2. Zhu Yong, Qing Pei. A Energy-Efficient Clustering Routing Algorithm Based on Distance and Residual Energy for Wireless Sensor Networks. International Workshop on Information and Electronics Engineering. 2012. 29:1882 – 1888.
  3. PratyayKuila, Prasanta K. Jan. Energy Efficient Load-Balanced Clustering Algorithm for Wireless Sensor Networks. International Conference on Communication, Computing & Security. 2012. 7:771–777.
  4. RogaiaMhemed ,NaumanAslam, William Phillips and Frank Comeau. An Energy Efficient Fuzzy Logic Cluster Formation Protocol in Wireless Sensor Networks. International Conference on Ambient Systems, Networks and Technologies. 2012. 10:255–262.
  5. Hu Yu, Wang Xiaohu. PSO-based Energy-balanced Double Cluster-heads Clustering Routing for wireless sensor networks. Advanced in Control Engineering and Information Science. 2011. 15:3073 – 3077.
  6. WANG Yan, SHAN Xin-xin, SUN Yanming. Study on the application of Genetic Algorithms in the optimization of wireless network. International Workshop on Automobile, Power and Energy Engineering. 16 (2011) 348 – 355.
  7. Ashutosh Kumar Singh, Sandeep Goutele, S.Verma and N. Purohit. An Energy Efficient Approach for Clustering in WSN using Fuzzy Logic. International Journal of Computer Applications (0975 – 8887). Volume 44– No18, April 2012.
  8. RogaiaMhemed, NaumanAslam, William Phillips and Frank Comeau. An Energy Efficient Fuzzy Logic Cluster Formation Protocol in Wireless Sensor Networks. International Conference on Ambient Systems, Networks and Technologies. 10 (2012) 255 – 262.
  9. Khalid A. Darabkh, Shereen S. Ismail, Mohammad Al-Shurman, Iyad F. Jafar, EmanAlkhader, Mamoun F. Al-Mistarihi. Performa nce evaluation of selective and adaptive heads clustering algorithms over wireless sensor networks. Journal of Network and Computer Applications 35 (2012) 2068 –2080.
  10. Buddha Singh, D. K. Lobiyal. Energy-aware cluster head selection using particle swarm optimization and analysis of packet retransmissions in WSN. C3IT-2012. 4 (2012) 171 –176.
  11. Chengfa Li, Mao Ye, Guihai Chen. An Energy-Efficient Unequal Clustering Mechanism for Wireless Sensor Networks, Mobile Adhoc and Sensor Systems Conference, 2005. IEEE International Conference on. 7-7 Nov. 2005.
  12. Zhu Yong, Qing Pei. An Energy-Efficient Clustering Routing Algorithm Based on Distance and Residual Energy for Wireless Sensor Networks. International Workshop on Information and Electronics Engineering (IWIEE). 29 (2012) 1882 – 1888.
  13. Buddha Singh and DayaKrishanLobiyal. A novel energy-aware cluster head selection based on particle swarm optimization for wireless sensor networks. Singh and Lobiyal Human-centric Computing and Information Sciences. 2012.
  14. SajidHussain, Abdul W. Matin and Obidul Islam. Genetic Algorithm for Energy Efficient Clusters in Wireless Sensor Networks. Information Technology, 2007. ITNG '07. Fourth International Conference on. 2-4 April 2007.
  15. Atashpaz-Gargari. Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition. Evolutionary Computation, 2007. CEC 2007. IEEE Congress on. 25-28 Sept. 2007.
  16. HakanBagci, Adnan Yazici. An energy aware fuzzy approach to unequal clustering in wireless sensor networks. Applied Soft Computing. 13 (2013) 1741–1749.
  17. SajidHussain, Abdul W. Matin and Obidul Islam. Genetic Algorithm for Energy Efficient Clusters in Wireless Sensor Networks. Information Technology, 2007. ITNG '07. Fourth International Conference on. 2-4 April 2007.
  18. Georgios Koltsidas, Fotini-Niovi Pavlidou. A Game Theoretical Approach to Clustering of Ad-Hoc and Sensor Networks. Telecommunication Systems. June 2011, Volume 47, Issue 1-2, pp 81-93.
Index Terms

Computer Science
Information Sciences

Keywords

Wireless Sensor Networks Theory of Games Fuzzy Logic Clustering Energy Consumption.