CHEATS: A cluster-head election algorithm for WSN using a Takagi-Sugeno fuzzy system

Energy conservation is very important task for wireless sensor networks (WSN), since external power sources are typically unavailable and the replacement of batteries is clearly impractical for large networks. A classical protocol widely used in WSN, called LEACH (low-energy adaptive clustering hierarchy), is a cluster-based protocol which aims at reducing energy consumption in the network. However, it has some drawbacks. This paper proposes the CHEATS (Cluster-Head Election Algorithm Using a Takagi Sugeno Fuzzy System) protocol, an improvement on the LEACH protocol whose goal is to increase energy effici ency in terms of network lifetime using fuzzy logic through a Takagi-Sugeno system to calculate the probability of election of candidates for cluster-head. Simulation results have shown that the protocol proposed could prolong the lifetime and increase the throughput of the network.

[1]  Ma Chaw Mon Thein,et al.  An Energy Efficient Cluster-Head Selection for Wireless Sensor Networks , 2010, 2010 International Conference on Intelligent Systems, Modelling and Simulation.

[2]  Joel J. P. C. Rodrigues,et al.  A survey on cross-layer solutions for wireless sensor networks , 2011, J. Netw. Comput. Appl..

[3]  Ganesh K. Venayagamoorthy,et al.  Computational Intelligence in Wireless Sensor Networks: A Survey , 2011, IEEE Communications Surveys & Tutorials.

[4]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[5]  Cong Huang,et al.  Cluster Algorithm for Electing Cluster Heads Based on Threshold Energy , 2010, 2010 International Conference on Electrical and Control Engineering.

[6]  Narottam Chand,et al.  Improvement in LEACH protocol for large-scale wireless sensor networks , 2011, 2011 International Conference on Emerging Trends in Electrical and Computer Technology.

[7]  E. Frias-Martinez Universal fuzzy system to Takagi-Sugeno fuzzy system compiler , 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).

[8]  Adnan Yazici,et al.  An energy aware fuzzy unequal clustering algorithm for wireless sensor networks , 2010, International Conference on Fuzzy Systems.

[9]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[10]  Zhenhua Kang,et al.  Energy-Efficient Cluster Head Selection in Clustering Routing for Wireless Sensor Networks , 2009, 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing.

[11]  Peng Ren,et al.  Unequal Clustering Scheme Based LEACH for Wireless Sensor Networks , 2010, 2010 Fourth International Conference on Genetic and Evolutionary Computing.

[12]  Fatos Xhafa,et al.  Evaluation of an Intelligent Fuzzy-Based Cluster Head Selection System for WSNs Using Different Parameters , 2011, 2011 IEEE Workshops of International Conference on Advanced Information Networking and Applications.

[13]  George J. Klir,et al.  Fuzzy sets and fuzzy logic - theory and applications , 1995 .