Publication:
ZigBee environment for indoor localization

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dc.citedby3
dc.contributor.authorChieh K.S.en_US
dc.contributor.authorKeong N.Y.en_US
dc.contributor.authorBurhan M.F.en_US
dc.contributor.authorBalasubramaniam N.en_US
dc.contributor.authorDin N.M.en_US
dc.contributor.authorid57191481356en_US
dc.contributor.authorid57191481778en_US
dc.contributor.authorid57191487465en_US
dc.contributor.authorid26967610800en_US
dc.contributor.authorid9335429400en_US
dc.date.accessioned2023-05-29T06:00:53Z
dc.date.available2023-05-29T06:00:53Z
dc.date.issued2015
dc.descriptionNearest neighbor search; Pattern recognition; Zigbee; Indoor environment; Indoor localization; Indoor localization systems; Indoor locations; K nearest neighbor algorithm; Prediction accuracy; Indoor positioning systemsen_US
dc.description.abstractIndoor 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.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7006237
dc.identifier.doi10.1109/ICE2T.2014.7006237
dc.identifier.epage155
dc.identifier.scopus2-s2.0-84990922181
dc.identifier.spage152
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84990922181&doi=10.1109%2fICE2T.2014.7006237&partnerID=40&md5=68edb8d1449e217e9f4c17987fd060af
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22423
dc.identifier.volume2014-August
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2014 4th International Conference on Engineering Technology and Technopreneuship, ICE2T 2014
dc.titleZigBee environment for indoor localizationen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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