WiFi localization system based on Fuzzy Logic to deal with signal variations

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...

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Bibliographic Details
Main Authors: Hernandez, N., Herranz, F., Ocana, M., Bergasa, L.M., Alonso, J.M., Magdalena, L.
Format: Conference Proceeding
Language:English
Subjects:
Cities and towns
Fuzzy logic
Global Positioning System
Hospitals
Indoor environments
Inventory control
Position measurement
Radio frequency
Surveillance
Uncertainty
Online Access:Request full text
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Summary: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.
ISSN:1946-0740
1946-0759
DOI:10.1109/ETFA.2009.5347015