Organizing a global coordinate system from local information on an ad hoc sensor network

  • Authors:

  • Radhika Nagpal;Howard Shrobe;Jonathan Bachrach

  • Affiliations:

  • Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA;Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA;Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA

  • Venue:
  • IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
  • Year:
  • 2003

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Abstract

We demonstrate that it is possible to achieve accurate localization and tracking of a target in a randomly placed wireless sensor network composed of inexpensive components of limited accuracy. The crucial enabler for this is a reasonably accurate local coordinate system aligned with the global coordinates. We present an algorithm for creating such a coordinate system without the use of global control, globally accessible beacon signals, or accurate estimates of inter-sensor distances. The coordinate system is robust and automatically adapts to the failure or addition of sensors. Extensive theoretical analysis and simulation results are presented. Two key theoretical results are: there is a critical minimum average neighborhood size of 15 for good accuracy and there is a fundamental limit on the resolution of any coordinate system determined strictly from local communication. Our simulation results show that we can achieve position accuracy to within 20% of the radio range even when there is variation of up to 10% in the signal strength of the radios. The algorithm improves with finer quantizations of inter-sensor distance estimates: with 6 levels of quantization position errors better than 10% are achieved. Finally we show how the algorithm gracefully generalizes to target tracking tasks.