DocumentCode
1929031
Title
Fusing Received Signal Strength from Multiple Access Points for WLAN User Location Estimation
Author
Zhang, Minghua ; Zhang, Shensheng ; Cao, Jian
Author_Institution
Dept. of Comput. Sci. & Eng., Shanghai Jiao Tong Univ., Shanghai
fYear
2008
fDate
28-29 Jan. 2008
Firstpage
173
Lastpage
180
Abstract
WLAN received signal strength based location estimation techniques are promising for their low cost and ease of deployment. Existing techniques use received signal strength from different access points in an equal way. However, signals sent from the far access point experience more influence of the environmental noises, and more uncertainties are added in the signal strength. As detectable access points have different distance to the user, their contributions to the final estimation should be considered discriminatingly. In this paper, a novel location estimation approach is proposed using the Dempster-Shafer evidence theory to fuse received signal strength from multiple access points with different belief. We elaborate on three key problems during applying the Dempster-Shafter evidence theory. The approach has been implemented in a practical wireless network and experimental results indicate that it is feasible in both accuracy and locating time. An average location estimation error below 2 meters can be obtained.
Keywords
inference mechanisms; mobile computing; wireless LAN; Dempster-Shafer evidence theory; WLAN user location estimation; multiple access points; received signal strength; Computer science; Costs; Global Positioning System; Internet; Space technology; Spaceborne radar; Uncertainty; Wireless LAN; Wireless networks; Working environment noise; Dempster-Shafer evidence theory; location estimation; received signal strength;
fLanguage
English
Publisher
ieee
Conference_Titel
Internet Computing in Science and Engineering, 2008. ICICSE '08. International Conference on
Conference_Location
Harbin
Print_ISBN
978-0-7695-3112-0
Electronic_ISBN
978-0-7695-3112-0
Type
conf
DOI
10.1109/ICICSE.2008.24
Filename
4548255
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