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WiFi Localization System Using Fuzzy Rule-Based Classification

Alonso, José María; Ocaña, Manuel; Sotelo, Miguel Ángel; Bergasa, Luis M.; Magdalena, L.
Year: 2009
Type of Publication: Article
Journal: Lecture Notes in Computer Science
Volume: 5717
Number: 2009
Pages: 383-390
Month: September
ISSN: 0302-9743
DOI: 10.1007/978-3-642-04772-5_50
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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