An Efficient Cluster Head Selection Algorithm for Wireless Sensor Networks Using Fuzzy Inference Systems

International Journal of Smart Electrical Engineering

مقاله 8، دوره 02، شماره 2، مرداد 2013، صفحه 121-125   

نویسندگان

Mohsen Jahanshahi¹؛ Shaban Rahmani²؛ Shaghayegh Ghaderi³

¹Young Researchers and Elite club, Central Tehran Branch, Islamic Azad University, Tehran, Iran.

²Department of Computer Architecture and Network, Science & Research Branch, Islamic Azad University, Qazvin, Iran.

³Faculty of Computer and Information Technology Engineering,Qazvin Branch, Islamic Azad University, Qazvin, Iran.

چکیده

An efficient cluster head selection algorithm in wireless sensor networks is proposed in this paper. The implementation of the proposed algorithm can improve energy which allows the structured representation of a network topology. According to the residual energy, number of the neighbors, and the centrality of each node, the algorithm uses Fuzzy Inference Systems to select cluster head. The algorithm not only balances the energy load of all nodes, but also provides a reliable selection of a new cluster head and optimality routing for the whole networks. Simulation results demonstrate that the proposed algorithm effectively increases the accuracy to select a cluster head and prolongs the network lifetime

کلیدواژه‌ها

Wireless Sensor Networks؛ Clustering؛ energy؛ Fuzzy Inference Systems

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