Distributed Sleep Scheduling in Wireless Sensor Networks via Fractional Domatic Partitioning

  • Authors:
  • André Schumacher;Harri Haanpää

  • Affiliations:
  • Department of Information and Computer Science, Helsinki University of Technology, TKK, Finland FI-02015;Department of Information and Computer Science, Helsinki University of Technology, TKK, Finland FI-02015

  • Venue:
  • SSS '09 Proceedings of the 11th International Symposium on Stabilization, Safety, and Security of Distributed Systems
  • Year:
  • 2009

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Abstract

We consider setting up sleep scheduling in sensor networks. We formulate the problem as an instance of the fractional domatic partition problem and obtain a distributed approximation algorithm by applying linear programming approximation techniques. Our algorithm is an application of the Garg-Könemann (GK) scheme that requires solving an instance of the minimum weight dominating set (MWDS) problem as a subroutine. Our two main contributions are a distributed implementation of the GK scheme for the sleep-scheduling problem and a novel asynchronous distributed algorithm for approximating MWDS based on a primal-dual analysis of Chvátal's set-cover algorithm. We evaluate our algorithm with ns2 simulations.