Fast/fair mobile localization in infrastructure wireless sensor networks

  • Authors:
  • Kiran Yedavalli;Bhaskar Krishnamachari;Lakshmi Venkatraman

  • Affiliations:
  • University of Southern California, LA, CA;University of Southern California, LA, CA;Robert Bosch Research and Technology Center, Palo Alto, CA

  • Venue:
  • ACM SIGMOBILE Mobile Computing and Communications Review
  • Year:
  • 2007

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Abstract

We introduce the problem of fast and fair localization of mobile units in indoor infrastructure wireless sensor networks. We define metrics and derive expressions for delay and fairness of localization and investigate a heuristic algorithm for fast and fair localization. Simulation results show that localization is faster for lower levels of location estimate accuracy, irrespective of anchor density, and that it is fairer for higher anchor densities, irrespective of location estimate accuracy. Also, localization is faster and fairer for grid deployment of anchors as compared to random deployment. The results also suggest that a guarantee on the desired level of location estimate accuracy can be provided for the entire localization area for specific speeds of movement of the mobile unit, and that these speeds are higher for denser anchor deployments.