Multidimensional Optimization of Signal Space Distance Parameters in WLAN Positioning

Accurate indoor localization of mobile users is one of the challenging problems of the last decade. Besides delivering high speed Internet, Wireless Local Area Network (WLAN) can be used as an effective indoor positioning system, being competitive both in terms of accuracy and cost. Among the locali...

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Bibliographic Details
Published in:TheScientificWorld 2014-01, Vol.2014 (2014), p.1-6
Main Authors: Brkovic, Milenko, Simic, Mirjana
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Colleges & universities
Electrical engineering
Emergency communications systems
Humans
Indoor environments
Local Area Networks
Mathematical optimization
Models, Theoretical
Neural networks
Propagation
Properties
Radio frequency identification
Wireless local area networks (Computer networks)
Wireless Technology
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Summary:Accurate indoor localization of mobile users is one of the challenging problems of the last decade. Besides delivering high speed Internet, Wireless Local Area Network (WLAN) can be used as an effective indoor positioning system, being competitive both in terms of accuracy and cost. Among the localization algorithms, nearest neighbor fingerprinting algorithms based on Received Signal Strength (RSS) parameter have been extensively studied as an inexpensive solution for delivering indoor Location Based Services (LBS). In this paper, we propose the optimization of the signal space distance parameters in order to improve precision of WLAN indoor positioning, based on nearest neighbor fingerprinting algorithms. Experiments in a real WLAN environment indicate that proposed optimization leads to substantial improvements of the localization accuracy. Our approach is conceptually simple, is easy to implement, and does not require any additional hardware.
ISSN:2356-6140
1537-744X
1537-744X
DOI:10.1155/2014/986061