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Title: ZigBee environment for indoor localization
Authors: Chieh, K.S. 
Keong, N.Y. 
Burhan, M.F. 
Balasubramaniam, N. 
Din, N.M. 
Issue Date: 2015
Abstract: Indoor localization system has become popular and widely deployed in ftracking the position and movement of objects and humans within an enclosed structure. This work proposes development of indoor localization system using ZigBee. K-Nearest Neighbor algorithm is adapted to predict the location of a user in an indoor environment. The accuracy of the indoor location sensing is investigated. Emphasis is placed on RSS sample vector fluctuation correction to further increase the prediction accuracy. © 2014 IEEE.
DOI: 10.1109/ICE2T.2014.7006237
Appears in Collections:COGS Scholarly Publication

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