Differential evolution based deployment of wireless sensor networks

Babajide Odunitan Ayinde, Abdulaziz Y. Barnawi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

Random deployment of sensor nodes most times generates an initial communication gap in the sensing field even in a highly dense network. These communication gaps still exist even when these sensor nodes are deployed in a structured manner. In either case, the resulting inter-node distances may cause lack of communication and subsequently degrades the network performance. Previous work showed that relay nodes have the capability of enhancing the communication among nodes in the network. In order to achieve better communication and extend the network lifetime, sensor nodes are deployed in a careful manner with the help of such relay nodes. This paper proposes an enhanced deployment algorithm based on Differential Evolution (DE). The algorithm aims at extending network lifetime by using a minimum number of relays. Results show that the proposed approach improves the network lifetime considerably compared to previous solution such as SP3D algorithm.

Original languageEnglish
Title of host publication2014 IEEE/ACS 11th International Conference on Computer Systems and Applications, AICCSA 2014
PublisherIEEE Computer Society
Pages131-137
Number of pages7
ISBN (Electronic)9781479971008
DOIs
StatePublished - 2014

Publication series

NameProceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA
Volume2014
ISSN (Print)2161-5322
ISSN (Electronic)2161-5330

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

  • Differential Evolution
  • Laplacian matrix
  • Wiener index
  • optimization
  • relay nodes

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Signal Processing
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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