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.

Genetic centralized dynamic clustering in wireless sensor networks / Kheireddine, Mekkaoui; Abdellatif, Rahmoun; Ferrari, Gianluigi. - 456(2015), pp. 503-511. [10.1007/978-3-319-19578-0_41]

Genetic centralized dynamic clustering in wireless sensor networks

FERRARI, Gianluigi
2015

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.
9783319195773
9783319195773
Genetic centralized dynamic clustering in wireless sensor networks / Kheireddine, Mekkaoui; Abdellatif, Rahmoun; Ferrari, Gianluigi. - 456(2015), pp. 503-511. [10.1007/978-3-319-19578-0_41]
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11381/2798760
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