Abstract
The main challenge in wireless sensors networks (WSN) is to conserve the energy consumption and prolong the lifetime of network. Since sensor nodes are deployed in hostile area and it is difficult to recharge their batteries or change it, we must maintain the lifetime of these nodes as longer as possible. Electing the appropriate Cluster Head (CH) becomes very important. Many clustering algorithms have been developed for selecting the best CHs. In this paper, we introduce a new clustering algorithm which elects CHs using fuzzy logic method and based on a set of parameters which increases the lifetime of WSN. In fact, we adopt three principle criteria: the remaining energy of node, the number of neighbors within cluster range and the distance between node and CH for electing best suitable nodes as CH. Simulation results shows that our proposed algorithm beats the other algorithms in regards of prolonging the lifetime of network and saving residual energy.
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Abidi, W., Ezzedine, T. (2018). Energy Efficiency Cluster Head Election using Fuzzy Logic Method for Wireless Sensor Networks. In: Lee, R. (eds) Software Engineering Research, Management and Applications. SERA 2017. Studies in Computational Intelligence, vol 722. Springer, Cham. https://doi.org/10.1007/978-3-319-61388-8_10
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DOI: https://doi.org/10.1007/978-3-319-61388-8_10
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