Detecting cuts in sensor networks

  • Authors:
  • Nisheeth Shrivastava;Subhash Suri;Csaba D. Tóth

  • Affiliations:
  • Bell Labs Research, Bangalore, India;University of California at Santa Barbara, Santa Barbara, CA;Massachusetts Institute of Technology, Cambridge, MA

  • Venue:
  • ACM Transactions on Sensor Networks (TOSN)
  • Year:
  • 2008

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Abstract

We propose a low-overhead scheme for detecting a network partition or cut in a sensor network. Consider a network S of n sensors, modeled as points in a two-dimensional plane. An ϵ-cut, for any 0 n nodes in S from a distinguished node, the base station. Our main result is that, by monitoring the status of just O(1/ϵ) nodes in the network, the base station can detect whenever an ϵ-cut occurs. Furthermore, this detection comes with a deterministic guarantee that every reported cut has size at least ϵn/2. Besides this combinatorial result, we also propose efficient algorithms for finding the O(1/ϵ) nodes that should act as sentinels, and report on our simulation results, comparing the sentinel algorithm with two natural schemes based on random sampling.