Please use this identifier to cite or link to this item: http://dspace.uniten.edu.my/jspui/handle/123456789/7186
Title: Improvement of indoor location sensing algorithm using Wireless Local Area Network (WLAN) IEEE 802.11b
Authors: Yuen, C.W. 
Balasubramaniam, N. 
Din, N.Md. 
Issue Date: 2009
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. ©2009 IEEE.
DOI: 10.1109/MICC.2009.5431451
Appears in Collections:COGS Scholarly Publication

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