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Genetic Centralized Dynamic Clustering in Wireless Sensor Networks

  • Mekkaoui Kheireddine
  • Rahmoun Abdellatif
  • Gianluigi Ferrari
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 456)

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.

Keywords

Sensor Node Cluster Algorithm Wireless Sensor Network Cluster Head Network Lifetime 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  • Mekkaoui Kheireddine
    • 1
  • Rahmoun Abdellatif
    • 2
  • Gianluigi Ferrari
    • 3
  1. 1.GeCoDe LaoratoryUniversity of Dr Tahar MoulaySaidaAlgeria
  2. 2.EEDIS LaboratotyUniversity of Djilllai LiabesSBAAlgeria
  3. 3.WASNLab LaboratoryUniversity of ParmaParmaItaly

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