DocumentCode :
1845610
Title :
Improvement of indoor location sensing algorithm using Wireless Local Area Network (WLAN) IEEE 802.11b
Author :
Yuen, Chan Weng ; Balasubramaniam, Nagaletchumi ; Din, Norashidah Md
Author_Institution :
Center for Commun. Service Convergence Technol., Univ. Tenaga Nasional, Kajang, Malaysia
fYear :
2009
fDate :
15-17 Dec. 2009
Firstpage :
857
Lastpage :
862
Abstract :
This paper proposes to improve the performance of the K-Nearest Neighbour algorithm in predicting the location of a mobile user in an indoor environment. Emphasis is placed on RSS sample vector fluctuation stabilization, resulting in an overall 12% increase in the precision of predicting correct locations compared to previous efforts.
Keywords :
indoor radio; mobility management (mobile radio); wireless LAN; wireless sensor networks; IEEE 802.11b; K-nearest neighbour algorithm; RSS sample vector fluctuation stabilization; indoor environment; indoor location sensing algorithm; mobile user; wireless local area network; Databases; Global Positioning System; Indoor environments; Mobile communication; Mobile radio mobility management; RF signals; Radar tracking; Satellite broadcasting; Satellite navigation systems; Wireless LAN; K-Nearest Neigbour; Location Awareness; WLAN IEEE 802.11b;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (MICC), 2009 IEEE 9th Malaysia International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-5531-7
Type :
conf
DOI :
10.1109/MICC.2009.5431451
Filename :
5431451
Link To Document :
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