Genetic Centralized Dynamic Clustering in Wireless Sensor Networks - Computer Science and Its Applications Access content directly
Conference Papers Year : 2015

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.
Fichier principal
Vignette du fichier
339159_1_En_41_Chapter.pdf (291.59 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01789981 , version 1 (11-05-2018)

Licence

Attribution

Identifiers

Cite

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⟩
405 View
166 Download

Altmetric

Share

Gmail Facebook X LinkedIn More