Deploying sensor networks with guaranteed fault tolerance

  • Authors:
  • Jonathan L. Bredin;Erik D. Demaine;Mohammad Taghi Hajiaghayi;Daniela Rus

  • Affiliations:
  • Department of Mathematics and Computer Science, Colorado College, Colorado Springs, CO;Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA;AT&T Labs-Research, Florham Park, NJ;Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA

  • Venue:
  • IEEE/ACM Transactions on Networking (TON)
  • Year:
  • 2010

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Abstract

We consider the problem of deploying or repairing a sensor network to guarantee a specified level of multipath connectivity (k-connectivity) between all nodes. Such a guarantee simultaneously provides fault tolerance against node failures and high overall network capacity (by the max-flow min-cut theorem). We design and analyze the first algorithms that place an almost-minimum number of additional sensors to augment an existing network into a k-connected network, for any desired parameter k. Our algorithms have provable guarantees on the quality of the solution. Specifically, we prove that the number of additional sensors is within a constant factor of the absolute minimum, for any fixed k. We have implemented greedy and distributed versions of this algorithm, and demonstrate in simulation that they produce high-quality placements for the additional sensors.