WiFi Localization System Using Fuzzy Rule-Based Classification

  • José M. Alonso
  • Manuel Ocaña
  • Miguel A. Sotelo
  • Luis M. Bergasa
  • Luis Magdalena
Conference paper

DOI: 10.1007/978-3-642-04772-5_50

Volume 5717 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Alonso J.M., Ocaña M., Sotelo M.A., Bergasa L.M., Magdalena L. (2009) WiFi Localization System Using Fuzzy Rule-Based Classification. In: Moreno-Díaz R., Pichler F., Quesada-Arencibia A. (eds) Computer Aided Systems Theory - EUROCAST 2009. EUROCAST 2009. Lecture Notes in Computer Science, vol 5717. Springer, Berlin, Heidelberg

Abstract

The framework of this paper is robot localization inside buildings using WiFi signal strength measure. This localization is usually made up of two phases: training and estimation stages. In the former the WiFi signal strength of all visible Access Points (APs) are collected and stored in a database or Wifi map, while in the latter the signal strengths received from all APs at a certain position are compared with the WiFi map to estimate the robot location. This work proposes the use of Fuzzy Rule-based Classification in order to obtain the robot position during the estimation stage, after a short training stage where only a few significant WiFi measures are needed. As a result, the proposed method is easily adaptable to new environments where triangulation algorithms can not be applied since the AP physical location is unknown. It has been tested in a real environment using our own robotic platform. Experimental results are better than those achieved by other classical methods.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • José M. Alonso
    • 1
  • Manuel Ocaña
    • 2
  • Miguel A. Sotelo
    • 2
  • Luis M. Bergasa
    • 2
  • Luis Magdalena
    • 1
  1. 1.European Centre for Soft Computing, Mieres (Asturias)Spain
  2. 2.Department of ElectronicsUniversity of Alcalá (Madrid)Spain