Enhanced fingerprint-based location estimation system in wireless LAN environment

Authors:
Wilson M. Yeung;JunYang Zhou;Joseph K. Ng
Affiliations:
Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong;Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong;Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong
Venue:
EUC'07 Proceedings of the 2007 conference on Emerging direction in embedded and ubiquitous computing
Year:
2007

Citing 3
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Abstract

Received Signal Strength (RSS) is one of the most useful information used for location estimation in Wireless LAN (WLAN). Most of the proposed WLAN positioning systems obtain RSS from either the Access Point or from the Mobile Device, but there are few researches that make use of the RSS obtained from both Access Points and Mobile Devices to perform location estimation. In this paper, we propose a new WLAN positioning system which makes use of the RSS collected from both the Access Points and Mobile Device. Our experimental result shows that the performance of our system is enhanced more than 23%, as compares to the traditional fingerprint-based WLAN positioning system which uses either RSS information obtained at Access Points or Mobile Device exclusively.