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ZigBee environment for indoor localization

Nearest neighbor search; Pattern recognition; Zigbee; Indoor environment; Indoor localization; Indoor localization systems; Indoor locations; K nearest neighbor algorithm; Prediction accuracy; Indoor positioning systems

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Bibliographic Details
Main Authors: Chieh K.S., Keong N.Y., Burhan M.F., Balasubramaniam N., Din N.M.
Other Authors: 57191481356
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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id my.uniten.dspace-22423
record_format dspace
spelling my.uniten.dspace-224232023-05-29T14:00:53Z ZigBee environment for indoor localization Chieh K.S. Keong N.Y. Burhan M.F. Balasubramaniam N. Din N.M. 57191481356 57191481778 57191487465 26967610800 9335429400 Nearest neighbor search; Pattern recognition; Zigbee; Indoor environment; Indoor localization; Indoor localization systems; Indoor locations; K nearest neighbor algorithm; Prediction accuracy; Indoor positioning systems 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. Final 2023-05-29T06:00:53Z 2023-05-29T06:00:53Z 2015 Conference Paper 10.1109/ICE2T.2014.7006237 2-s2.0-84990922181 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84990922181&doi=10.1109%2fICE2T.2014.7006237&partnerID=40&md5=68edb8d1449e217e9f4c17987fd060af https://irepository.uniten.edu.my/handle/123456789/22423 2014-August 7006237 152 155 Institute of Electrical and Electronics Engineers Inc. Scopus
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/
description Nearest neighbor search; Pattern recognition; Zigbee; Indoor environment; Indoor localization; Indoor localization systems; Indoor locations; K nearest neighbor algorithm; Prediction accuracy; Indoor positioning systems
author2 57191481356
author_facet 57191481356
Chieh K.S.
Keong N.Y.
Burhan M.F.
Balasubramaniam N.
Din N.M.
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_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
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806423574612803584
score 13.222552

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