WiFi localization system based on fuzzy logic to deal with signal variations

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WiFi localization system based on fuzzy logic to deal with signal variations

BibTex:
Research Area:	Robotics	Year:	2009
Type of Publication:	In Proceedings
Authors:	Noelia Hernández Fernando Herranz Manuel Ocaña Luis M. Bergasa José María Alonso L. Magdalena

Book title:	Proceedings of the 14th IEEE international conference on Emerging technologies & factory automation
Series:	ETFA'09	Pages:	317-322
Address:	Piscataway, NJ, USA

ISBN:	978-1-4244-2727-7

@conference{etfa:hernandez2009, author = "Hern{\'a}ndez, Noelia and Herranz, Fernando and Oca{\~n}a, Manuel and Bergasa, Luis M. and Alonso, Jos{\'e} Mar{\'i}a and L. Magdalena", abstract = "The goal of this paper is to study some of the most important WiFi signal variations, large and small scale variations and how they affect to WiFi localization systems. Moreover, the paper shows how to use Soft Computing techniques to deal with these uncertainties in WiFi localization systems. This work describes how to reduce uncertainty produced by small scale variations in indoor environments using fuzzy techniques. Some experimental results and conclusions are presented.", address = "Piscataway, NJ, USA", booktitle = "Proceedings of the 14th IEEE international conference on Emerging technologies {\&} factory automation", doi = "10.1109/ETFA.2009.5347015 ", isbn = "978-1-4244-2727-7", pages = "317--322", publisher = "IEEE Press", series = "ETFA'09", title = "{W}i{F}i localization system based on fuzzy logic to deal with signal variations", url = "http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5347015", year = "2009", }
Abstract:	The goal of this paper is to study some of the most important WiFi signal variations, large and small scale variations and how they affect to WiFi localization systems. Moreover, the paper shows how to use Soft Computing techniques to deal with these uncertainties in WiFi localization systems. This work describes how to reduce uncertainty produced by small scale variations in indoor environments using fuzzy techniques. Some experimental results and conclusions are presented.
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Robotics and eSafety Research Group

WiFi localization system based on fuzzy logic to deal with signal variations

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