Publication:
WLAN environment for indoor localization

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dc.contributor.authorBurhan M.F.B.en_US
dc.contributor.authorShiham N.S.M.en_US
dc.contributor.authorBalasubramaniam N.en_US
dc.contributor.authorDin N.M.en_US
dc.contributor.authorid57191487465en_US
dc.contributor.authorid57191480082en_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.descriptionForecasting; Indoor positioning systems; Motion compensation; Nearest neighbor search; Pattern recognition; Access point (APs); Correction algorithms; Indoor environment; Indoor localization; K nearest neighbor algorithm; K-nearest neighbors; Prediction accuracy; Wireless local area networks (WLAN)en_US
dc.description.abstractThis paper investigates the deployment of WLAN for indoor localization. K-Nearest Neighbor algorithm is adapted to predict the location of a user in an indoor environment. The accuracy of K-Nearest Neighbor in predicting user's location in an indoor environment is evaluated. As resistance in indoor environment such as walls and movement of objects adversely affect the performance of the algorithm, emphasis is placed on RSS sample vector fluctuation correction. Two simulations were carried out, one adapting the fluctuation correction algorithm and one without fluctuation correction algorithm. The results of the investigation shows that deployment of fluctuation correction algorithm improves the prediction accuracy. The number of access points (APs) deployed in the investigated area also contribute to the prediction accuracy. � 2014 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7006225
dc.identifier.doi10.1109/ICE2T.2014.7006225
dc.identifier.epage93
dc.identifier.scopus2-s2.0-84990964646
dc.identifier.spage89
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84990964646&doi=10.1109%2fICE2T.2014.7006225&partnerID=40&md5=94b686a1cda280cc236c5b17c7de4bad
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22422
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.titleWLAN environment for indoor localizationen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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