Wireless LAN Positioning based on Received Signal Strength from Mobile device and Access Points

Most of the WLAN positioning systems use Received Signal Strength (RSS) as an important information to estimate the location of a mobile station. In fact, RSS can be obtained at the access points or at the mobile device, and most of the previous works use either way to collect this information. In this paper, we propose a new WLAN positioning approach by making use of the RSS collected at both the access points and mobile device. Besides, our new approach is positioning algorithm independent, which means the user can apply any location estimation algorithm with our new data acquisition approach. With our new data acquisition approach, our experiments had shown that the accuracy of location estimation can be improved by 12.84% to 38.23% on the average, as compare to the previous work which only uses the RSS information from either access points or the mobile device.

[1]  Moustafa Youssef,et al.  A Probabilistic Clustering-Based Indoor Location Determination System , 2002 .

[2]  Moustafa Youssef,et al.  WLAN location determination via clustering and probability distributions , 2003, Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003)..

[3]  Hao Wang,et al.  A wireless LAN-based indoor positioning technology , 2004, IBM J. Res. Dev..

[4]  V. Padmanabhan,et al.  Enhancements to the RADAR User Location and Tracking System , 2000 .

[5]  Toshiro Kawahara,et al.  Robust indoor location estimation of stationary and mobile users , 2004, IEEE INFOCOM 2004.

[6]  A. Agrawala,et al.  On the Optimality of WLAN Location Determination Systems , 2003 .

[7]  John Krumm,et al.  Accuracy characterization for metropolitan-scale Wi-Fi localization , 2005, MobiSys '05.

[8]  J.K. Ng,et al.  An Enhanced Wireless LAN Positioning Algorithm based on the Fingerprint Approach , 2006, TENCON 2006 - 2006 IEEE Region 10 Conference.

[9]  Anjur Sundaresan Krishnakumar,et al.  Infrastructure-based location estimation in WLAN networks , 2004 .

[10]  13th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA 2007), 21-24 August 2007, Daegu, Korea , 2007, RTCSA.

[11]  Moustafa Youssef,et al.  The Horus WLAN location determination system , 2005, MobiSys '05.

[12]  Joseph Kee-Yin Ng,et al.  Wireless LAN positioning with mobile devices in a library environment , 2005, 25th IEEE International Conference on Distributed Computing Systems Workshops.

[13]  Paramvir Bahl,et al.  RADAR: an in-building RF-based user location and tracking system , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).