Optimizing the communication distance of an ad hoc wireless sensor networks by genetic algorithms

Mohaned Al-Obaidy*, Aladdin Ayesh, Alaa F. Sheta

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

28 Citations (Scopus)

Abstract

In this paper we provide our preliminary idea of using Genetic Algorithms (GAs) to solve the ad hoc Wireless Sensor Networks (WSNs) distance optimization problem. Our objective is to minimize the communication distance over a distributed sensor network. The proposed sensor network will be autonomously divided into set of k-clusters (k is unknown) to reduce the energy consumption for the overall network. On doing this, we use GAs to specify; the location of cluster-heads, the number of clusters and the cluster-mumbers which, if chosen, will minimize the communication distance over the distributed sensor network.

Original languageEnglish
Pages (from-to)183-194
Number of pages12
JournalArtificial Intelligence Review
Volume29
Issue number3-4
DOIs
Publication statusPublished - Jun 2008
Externally publishedYes

Keywords

  • Clustering
  • Genetic algorithms
  • Sensors network

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