Empirical evaluation of signal-strength fingerprint positioning in wireless LANs

  • Authors:

  • Dimitris Milioris;Lito Kriara;Artemis Papakonstantinou;George Tzagkarakis;Panagiotis Tsakalides;Maria Papadopouli

  • Affiliations:

  • University of Crete & FORTH, Heraklion, Greece;University of Crete & FORTH, Heraklion, Greece;University of Crete & FORTH, Heraklion, Greece;University of Crete & FORTH, Heraklion, Greece;University of Crete & FORTH, Heraklion, Greece;University of Crete & FORTH, Heraklion, Greece

  • Venue:
  • Proceedings of the 13th ACM international conference on Modeling, analysis, and simulation of wireless and mobile systems
  • Year:
  • 2010

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Abstract

This paper proposes a novel localization technique based on a multivariate Gaussian modeling of the signal strength measurements collected from several access points (APs) at different locations. It considers a discretized grid-like form of the environment and computes a signature at each cell of the grid. At run time the system compares the signature at the unknown position with the signature of each cell using the Kullback-Leibler Divergence estimation (KLD) between their corresponding probability densities. The paper evaluates the performance of the proposed technique and compares it with other statistical fingerprint-based localization systems. The performance analysis studies were conducted at the premises of a research laboratory and an aquarium under various conditions. Furthermore, the paper evaluates the impact of the number of APs and the size of the measurement datasets.