Enhanced WiFi localization system based on Soft Computing techniques to deal with small-scale variations in wireless sensors

@article{Alonso2011EnhancedWL,
  title={Enhanced WiFi localization system based on Soft Computing techniques to deal with small-scale variations in wireless sensors},
  author={Jos{\'e} M. Alonso and Manuel Oca{\~n}a and Noelia Hern{\'a}ndez and Fernando Herranz and Angel Llamazares and Miguel {\'A}ngel Sotelo and Luis Miguel Bergasa and Luis Magdalena},
  journal={Appl. Soft Comput.},
  year={2011},
  volume={11},
  pages={4677-4691}
}
The framework of this paper is robot localization inside buildings by means of wireless localization systems. Such kind of systems make use of the Wireless Fidelity (WiFi) signal strength sensors which are becoming more and more useful in the localization stage of several robotic platforms. Robot localization is usually made up of two phases: training and estimation stages. In the former, WiFi signal strength of all visible Access Points (APs) are collected and stored in a database or WiFi map… CONTINUE READING
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GUAJE: Generating Understandable and Accurate Fuzzy Models in a Java Environment

  • J. M. Alonso
  • in: Free Software Under GPL License,
  • 2010
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