DocumentCode :
3667547
Title :
A new fuzzy location indicator for Interval Type-2 indoor Fuzzy Localization System
Author :
Noura Baccar;Ridha Bouallegue
Author_Institution :
Innov´COM/Cynapsys, ENIT/Sup´Com, Tunis, Tunisia
fYear :
2015
Firstpage :
126
Lastpage :
131
Abstract :
Researches in techniques and technologies of indoor geo-localization are submerging location-based services. In this paper, we present a new fuzzy process for localization in Wireless Sensor Networks (WSN). The proposed concept is based on creating a Fuzzy Location Indicator (FLI) to characterize the map of the target environment. The main contribution in this work consists on proposing a Fuzzy Localization System (FLS) that collects the Received Radio Signal Strength (RSS) from the anchors and proceeds to Interval-Type2 (IT2) Fuzzification process to reduce uncertainty of measurements. The proposed method is range-based and uses computational intelligence (CI) through fuzzy fingerprinting. The system proceeds to pattern matching between the RSS IT2 fuzzy sets and the FLI. Simulation results has proved higher success rate on linguistic localization using IT2 Fuzzy sets (FSs) than using Type1 fuzzy sets.
Keywords :
"Frequency selective surfaces","Fuzzy logic","Uncertainty","Wireless sensor networks","Fuzzy sets","Pragmatics","Engines"
Publisher :
ieee
Conference_Titel :
Wireless Communications and Mobile Computing Conference (IWCMC), 2015 International
Type :
conf
DOI :
10.1109/IWCMC.2015.7289069
Filename :
7289069
Link To Document :
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