Data gathering tours in sensor networks

  • Authors:

  • Alexandra Meliou;David Chu;Joseph Hellerstein;Carlos Guestrin;Wei Hong

  • Affiliations:

  • University of California, Berkeley, CA;University of California, Berkeley, CA;University of California, Berkeley, CA;Carnegie Mellon University;Arched Rock Corporation

  • Venue:
  • Proceedings of the 5th international conference on Information processing in sensor networks
  • Year:
  • 2006

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Abstract

A basic task in sensor networks is to interactively gather data from a subset of the sensor nodes. When data needs to be gathered from a selected set of nodes in the network, existing communication schemes often behave poorly. In this paper, we study the algorithmic challenges in efficiently routing a fixed-size packet through a small number of nodes in a sensor network, picking up data as the query is routed. We show that computing the optimal routing scheme to visit a specific set of nodes is NP-complete, but we develop approximation algorithms that produce plans with costs within a constant factor of the optimum. We enhance the robustness of our initial approach to accommodate the practical issues of limited-sized packets as well as network link and node failures, and examine how different approaches behave with dynamic changes in the network topology. Our theoretical results are validated via an implementation of our algorithms on the TinyOS platform and a controlled simulation study using Matlab and TOSSIM.