Fuzzy logic and Voronoi diagram using for cluster head selection in ubiquitous sensor networks

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Abstract

In this paper, we propose a new algorithm called Cluster-Head selection using Fuzzy Logic with Voronoi diagram in USNs (CHS-FL-VD) that is a distributed algorithm which makes local decisions to select cluster head using a fuzzy inference system based on two parameters which are remaining energy and centrality by Voronoi diagram. Cluster formation using Voronoi diagram. Disseminating data from cluster heads to the base station using gateway and direct connection to properly distribute energy and ensure maximum network life time. A comparison with LEACH and Fuzzy C-Means algorithms has been done. Simulation results show that the proposed algorithm consumes less energy and prolongs the network life time compared with these algorithms. © 2014 Springer International Publishing.

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Al-Naggar, Y., & Koucheryavy, A. (2014). Fuzzy logic and Voronoi diagram using for cluster head selection in ubiquitous sensor networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8638 LNCS, pp. 319–330). Springer Verlag. https://doi.org/10.1007/978-3-319-10353-2_28

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