Publication:
Wi-Fi received signal strength-based hyperbolic location estimation for indoor positioning systems

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dc.citedby1
dc.contributor.affiliationsFaculty of Science and Technology
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.affiliationsUniversiti Putra Malaysia (UPM)
dc.contributor.authorNarzullaev A.en_US
dc.contributor.authorSelamat M.H.en_US
dc.contributor.authorSharif K.Y.en_US
dc.contributor.authorMuminov Z.en_US
dc.date.accessioned2024-05-29T01:56:30Z
dc.date.available2024-05-29T01:56:30Z
dc.date.issued2019
dc.description.abstractNowadays, Wi-Fi fingerprinting-based positioning systems provide enterprises the ability to track their various resources more efficiently and effectively. The main idea behind fingerprinting is to build signal strength database of target area prior to location estimation. This process is called calibration and the positioning accuracy highly depends on calibration intensity. Unfortunately, calibration procedure requires huge amount of time and effort, and makes large scale deployments of Wi-Fi based indoor positioning systems non-trivial. In this research we present a novel location estimation algorithm for Wi-Fi based indoor positioning systems. The proposed algorithm combines signal sampling and hyperbolic location estimation techniques to estimate the location of mobile users. The algorithm achieves cost-efficiency by reducing the number of fingerprint measurements while providing reliable location accuracy. Moreover, it does not require any additional hardware upgrades to the existing network infrastructure. Experimental results show that the proposed algorithm with easy-to-build signal strength database performs more accurate than conventional signal strength-based methods. � 2019 Inderscience Enterprises Ltd.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1504/IJICT.2019.097688
dc.identifier.epage188
dc.identifier.issn14666642
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85061317004
dc.identifier.spage175
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85061317004&doi=10.1504%2fIJICT.2019.097688&partnerID=40&md5=48d79aa3de3053bd5997a6a04bb802b7
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/9842
dc.identifier.volume14
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherInderscience Enterprises Ltd.en_US
dc.relation.ispartofInternational Journal of Information and Communication Technology
dc.sourceScopus
dc.subjectHyperbolic location estimationen_US
dc.subjectIndoor positioningen_US
dc.subjectReceived signal strengthen_US
dc.subjectTDOAen_US
dc.subjectTrilaterationen_US
dc.subjectWi-Fi fingerprintingen_US
dc.titleWi-Fi received signal strength-based hyperbolic location estimation for indoor positioning systemsen_US
dc.title.alternativeInt. J. Inf. Commun. Technol.en_US
dc.typeArticleen_US
dspace.entity.typePublication

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