Self-configuring localization systems: Design and Experimental Evaluation

  • Authors:
  • Nirupama Bulusu;John Heidemann;Deborah Estrin;Tommy Tran

  • Affiliations:
  • University of California, Los Angeles, CA;University of Southern California/Information Sciences Institute, Marina del Rey, CA;University of California, Los Angeles, CA;University of California, Los Angeles, CA

  • Venue:
  • ACM Transactions on Embedded Computing Systems (TECS)
  • Year:
  • 2004

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Abstract

Embedded networked sensors promise to revolutionize the way we interact with our physical environment and require scalable, ad hoc deployable and energy-efficient node localization/positioning.This paper describes the motivation, design, implementation, and experimental evaluation (on sharply resource-constrained devices) of a self-configuring localization system using radio beacons. We identify beacon density as an important parameter in determining localization quality, which saturates at a transition density. We develop algorithms to improve localization quality by (i) automating placement of new beacons at low densities (HEAP) and (ii) rotating functionality among redundant beacons while increasing system lifetime at high densities (STROBE).