Refining WiFi Indoor Positioning Renders Pertinent Deploying Location-Based Multimedia Guide

  • Authors:
  • F. Lassabe;P. Canalda;P. Chatonnay;D. Charlet

  • Affiliations:
  • F. Spies - LIFC (FRE CNRS 2661), France;F. Spies - LIFC (FRE CNRS 2661), France;F. Spies - LIFC (FRE CNRS 2661), France;INRIA-ARLES Project, France

  • Venue:
  • AINA '06 Proceedings of the 20th International Conference on Advanced Information Networking and Applications - Volume 02
  • Year:
  • 2006

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Abstract

If outdoor positioning is widely treated and quite precise, indoor or more generally in heterogeneous environment, the positioning (and also mobility prediction) requires consequent devices. The WiFi solution, easy to deploy and cheaper, becomes today an alternative. Our refinement approach, which is based on, both a friis calibrated model and the referenced points, makes it competitive. The targeted applications require not only deployment and precision, but also diffusion of rich and interactive media flow.