ZigBee environment for indoor localization

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...

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Main Authors: Chieh, K.S., Keong, N.Y., Burhan, M.F., Balasubramaniam, N., Din, N.M.
Format: Conference Paper
Language:English
Published: 2018
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spelling my.uniten.dspace-71212018-04-28T16:41:54Z ZigBee environment for indoor localization Chieh, K.S. Keong, N.Y. Burhan, M.F. Balasubramaniam, N. Din, N.M. 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. 2018-01-11T09:10:41Z 2018-01-11T09:10:41Z 2015 Conference Paper 10.1109/ICE2T.2014.7006237 en
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
description 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.
format Conference Paper
author Chieh, K.S.
Keong, N.Y.
Burhan, M.F.
Balasubramaniam, N.
Din, N.M.
spellingShingle Chieh, K.S.
Keong, N.Y.
Burhan, M.F.
Balasubramaniam, N.
Din, N.M.
ZigBee environment for indoor localization
author_facet Chieh, K.S.
Keong, N.Y.
Burhan, M.F.
Balasubramaniam, N.
Din, N.M.
author_sort Chieh, K.S.
title ZigBee environment for indoor localization
title_short ZigBee environment for indoor localization
title_full ZigBee environment for indoor localization
title_fullStr ZigBee environment for indoor localization
title_full_unstemmed ZigBee environment for indoor localization
title_sort zigbee environment for indoor localization
publishDate 2018
_version_ 1644494111596609536
score 13.154949