Gathering correlated data in sensor networks

  • Authors:
  • Pascal von Rickenbach;Rogert Wattenhofer

  • Affiliations:
  • Computer Engineering and Networks Laboratory, Zurich, Switzerland;Computer Engineering and Networks Laboratory, Zurich, Switzerland

  • Venue:
  • Proceedings of the 2004 joint workshop on Foundations of mobile computing
  • Year:
  • 2004

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Abstract

In this paper, we consider energy-efficient gathering of correlated data in sensor networks. We focus on single-input coding strategies in order to aggregate correlated data. For foreign coding we propose the MEGA algorithm which yields a minimum-energy data gathering topology in O (n3) time. We also consider self-coding for which the problem of finding an optimal data gathering tree was recently shown to be NP-complete; with LEGA, we present the first approximation algorithm for this problem with approximation ratio 2(1+ √2 ) and running time O m + n log n.