Experimental comparison of RSSI-based localization algorithms for indoor wireless sensor networks

  • Authors:
  • Giovanni Zanca;Francesco Zorzi;Andrea Zanella;Michele Zorzi

  • Affiliations:
  • University of Padova, Italy;University of Padova, Italy;University of Padova, Italy;University of Padova, Italy

  • Venue:
  • Proceedings of the workshop on Real-world wireless sensor networks
  • Year:
  • 2008

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Abstract

In this paper, we investigate the actual performance of some of the best known localization algorithms when deployed in real-world indoor environments. Among the plethora of possible localization schemes, we focus on those based on radio signal strength measurements only, since they do not require extra circuitry that would result in higher cost and energy consumption. For a fair comparison, we have first gathered thousands of radio signal strength measurements in two different indoor environments. To estimate the channel model parameters and to compare the different localization algorithms these data have been used.