Distributed lifetime-maximized target coverage game

Li-Hsing Yen*, Che Ming Lin, Victor C.M. Leung

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Wireless sensor nodes are usually densely deployed to completely cover (monitor) a set of targets. Consequently, redundant sensor nodes that are not currently needed in the covering task can be powered off to conserve energy. These sensors can take over the covering task later to prolong network lifetime. The coverage problem, concerns picking up a set of working sensors that collectively meet the coverage requirements. The problem is complicated by the possibility that targets may have different coverage requirements while sensor nodes may have different amounts of energy. This article proposes a game-theoretic approach to the coverage problem, where each sensor autonomously decides its state with a simple rule based on local information. We give rigorous proofs to show stability, correctness, and efficiency of the proposed game. Implementation variants of the game consider specific issues, such as game convergence time and different amounts of sensor energy. Simulation results show significant improvement in network lifetime by the proposed approach when compared with representative alternatives.

Original languageEnglish
Article number46
JournalACM Transactions on Sensor Networks
Volume9
Issue number4
DOIs
StatePublished - 1 Jan 2013

Keywords

  • Coverage
  • Energy management
  • Game theory
  • Network protocols
  • Wireless sensor networks

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