RFID and ZigBee integrated environment for indoor localization
Engineering research; Nearest neighbor search; Pattern recognition; Radio frequency identification (RFID); Zigbee; Indoor environment; Indoor localization; Indoor localization systems; Indoor locations; Integrated environment; K nearest neighbor algorithm; Wireless technologies; Indoor positioning s...
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Institute of Electrical and Electronics Engineers Inc.
2023
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| _version_ | 1833352479103778816 |
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| author | Keong N.Y. Chieh K.S. Burhan M.F. Balasubramaniam N. Din N.M. |
| author2 | 57191481778 |
| author_facet | 57191481778 Keong N.Y. Chieh K.S. Burhan M.F. Balasubramaniam N. Din N.M. |
| author_sort | Keong N.Y. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Engineering research; Nearest neighbor search; Pattern recognition; Radio frequency identification (RFID); Zigbee; Indoor environment; Indoor localization; Indoor localization systems; Indoor locations; Integrated environment; K nearest neighbor algorithm; Wireless technologies; Indoor positioning systems |
| format | Conference Paper |
| id | my.uniten.dspace-22421 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| record_format | dspace |
| spelling | my.uniten.dspace-224212023-05-29T14:00:52Z RFID and ZigBee integrated environment for indoor localization Keong N.Y. Chieh K.S. Burhan M.F. Balasubramaniam N. Din N.M. 57191481778 57191481356 57191487465 26967610800 9335429400 Engineering research; Nearest neighbor search; Pattern recognition; Radio frequency identification (RFID); Zigbee; Indoor environment; Indoor localization; Indoor localization systems; Indoor locations; Integrated environment; K nearest neighbor algorithm; Wireless technologies; Indoor positioning systems Indoor 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. Final 2023-05-29T06:00:52Z 2023-05-29T06:00:52Z 2015 Conference Paper 10.1109/ICE2T.2014.7006249 2-s2.0-84991000978 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84991000978&doi=10.1109%2fICE2T.2014.7006249&partnerID=40&md5=e021e6d6d0bd7f3ca23e83dc2c2e779f https://irepository.uniten.edu.my/handle/123456789/22421 2014-August 7006249 212 217 Institute of Electrical and Electronics Engineers Inc. Scopus |
| spellingShingle | Keong N.Y. Chieh K.S. Burhan M.F. Balasubramaniam N. Din N.M. RFID and ZigBee integrated environment for indoor localization |
| title | RFID and ZigBee integrated environment for indoor localization |
| title_full | RFID and ZigBee integrated environment for indoor localization |
| title_fullStr | RFID and ZigBee integrated environment for indoor localization |
| title_full_unstemmed | RFID and ZigBee integrated environment for indoor localization |
| title_short | RFID and ZigBee integrated environment for indoor localization |
| title_sort | rfid and zigbee integrated environment for indoor localization |
| url_provider | http://dspace.uniten.edu.my/ |