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Maximum Lifetime Target Coverage in Wireless Sensor Networks

  • Nora Saadi*
  • , Ahcène Bounceur
  • , Reinhardt Euler
  • , Massinissa Lounis
  • , Madani Bezoui
  • , Moussa Kerkar
  • , Bernard Pottier
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

The challenge in the deployment of wireless sensor networks is to ensure the coverage of targets with high energy efficiency, particularly when coverage and energy constraints must be taken into account. Many algorithms have been suggested over the years to enhance network lifetime as sensor nodes are powered by batteries. These algorithms divide a set of sensor nodes into a number of subsets which can monitor all targets. The subsets are either joint or disjoint. In this paper, we propose an efficient method to compute the maximum lifetime target coverage. Our proposed method is centred around a target that is covered by a minimum number of sensor nodes. Based on this approach, we also propose an algorithm to expand the network lifetime which guarantees the monitoring of all targets by forming subsets of sensor nodes. Our obtained results are compared with the work reported in Cardei et al. (In: INFOCOM 24th annual joint conference of the IEEE computer and communications societies. Proceedings IEEE, 3:1976–1984, 2005). They are also compared with a method of computing the maximum lifetime target coverage. The results obtained by simulation show that the proposed algorithm enhances the network lifetime, which illustrates the efficiency of this algorithm.

Original languageEnglish
Pages (from-to)1525-1543
Number of pages19
JournalWireless Personal Communications
Volume111
Issue number3
DOIs
StatePublished - 1 Apr 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019, Springer Science+Business Media, LLC, part of Springer Nature.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Sensor scheduling
  • Target coverage
  • WSN
  • WSN-lifetime

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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