Please use this identifier to cite or link to this item: http://dspace2020.uniten.edu.my:8080/handle/123456789/7122
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKeong, N.Y.en_US
dc.contributor.authorChieh, K.S.en_US
dc.contributor.authorBurhan, M.F.en_US
dc.contributor.authorBalasubramaniam, N.en_US
dc.contributor.authorDin, N.M.en_US
dc.date.accessioned2018-01-11T09:10:42Z-
dc.date.available2018-01-11T09:10:42Z-
dc.date.issued2015-
dc.description.abstractIndoor localization is vastly deployed for tracking the position and movement of objects and humans within an enclosed area. Poliferation of wireless technologies has further foster the deployment of indoor localization system in various field. This paper proposes RFID and ZigBee integrated environment for indoor localization system. 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. Results of the RFID deployment in the research work is presented in this paper. © 2014 IEEE.
dc.language.isoenen_US
dc.titleRFID and ZigBee integrated environment for indoor localizationen_US
dc.typeConference Paperen_US
dc.identifier.doi10.1109/ICE2T.2014.7006249-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.openairetypeConference Paper-
Appears in Collections:COGS Scholarly Publication
Show simple item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.