A heuristic approach for K-coverage extension with energy-efficient sleep scheduling in sensor networks

  • Authors:
  • Kenji Leibnitz;Indika Suranjith Abeyweera;Naoki Wakamiya;Masayuki Murata

  • Affiliations:
  • Osaka University, Suita, Osaka, Japan;Osaka University, Suita, Osaka, Japan;Osaka University, Suita, Osaka, Japan;Osaka University, Suita, Osaka, Japan

  • Venue:
  • Proceedings of the 3rd International Conference on Bio-Inspired Models of Network, Information and Computing Sytems
  • Year:
  • 2008

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Abstract

In this paper we consider the problem of coverage in a wireless sensor network where nodes already have been previously deployed. Our goal is to design an efficient strategy to add further nodes for achieving a certain target K-coverage throughout the entire monitoring region. A heuristic approach based on a dynamic model resembling gas bubbles is applied to solve this problem. Once the additional coverage has been reached, each node uses a self-organizing mechanism to determine its sleep schedule, depending on the activity of its surrounding nodes.