Title :
WiFi localization system based on Fuzzy Logic to deal with signal variations
Author :
Hernández, N. ; Herranz, F. ; Ocañ, M. ; Bergasa, L.M. ; Alonso, J.M. ; Magdalena, L.
Author_Institution :
Dept. of Electron., Univ. of Alcala, Madrid, Spain
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.
Keywords :
fuzzy logic; wireless LAN; WiFi localization system; WiFi signal variations; fuzzy logic; soft computing techniques; Cities and towns; Fuzzy logic; Global Positioning System; Hospitals; Indoor environments; Inventory control; Position measurement; Radio frequency; Surveillance; Uncertainty;
Conference_Titel :
Emerging Technologies & Factory Automation, 2009. ETFA 2009. IEEE Conference on
Conference_Location :
Mallorca
Print_ISBN :
978-1-4244-2727-7
Electronic_ISBN :
1946-0759
DOI :
10.1109/ETFA.2009.5347015
