Genetic Centralized Dynamic Clustering in Wireless Sensor Networks

Abstract : In order to overcome the energy loss involved by communications in wireless sensor networks (WSN), the use of clustering has proven to be effective. In this paper, we proposed a dynamic centralized genetic algorithm (GA)-based clustering approach to optimize the clustering configuration (cluster heads and cluster members) to limit node energy consumption. The obtained simulation results show that the proposed technique overcomes the LEACH clustering algorithm.
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Mekkaoui Kheireddine, Rahmoun Abdellatif, Gianluigi Ferrari. Genetic Centralized Dynamic Clustering in Wireless Sensor Networks. 5th International Conference on Computer Science and Its Applications (CIIA), May 2015, Saida, Algeria. pp.503-511, ⟨10.1007/978-3-319-19578-0_41⟩. ⟨hal-01789981⟩

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