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Improvement of indoor location sensing algorithm using Wireless Local Area Network (WLAN) IEEE 802.11b

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3 Author(s)
Chan Weng Yuen ; Center for Communications Service Convergence Technologies, College of Engineering, Universiti Tenaga Nasional, KM7, Jalan Kajang-Puchong, 43009, Selangor, Malaysia ; Nagaletchumi Balasubramaniam ; Norashidah Md. Din

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.

Published in:

Communications (MICC), 2009 IEEE 9th Malaysia International Conference on

Date of Conference:

15-17 Dec. 2009