Performance Enhancement of Wi-Fi Fingerprinting-Based IPS by Accurate Parameter Estimation of Censored and Dropped Data

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dc.contributor.authorTrung Kien Vu
dc.contributor.authorManh Kha Hoang
dc.contributor.authorHung Lan Le
dc.coverage.issue4cs
dc.coverage.volume28cs
dc.date.accessioned2020-04-30T12:16:41Z
dc.date.available2020-04-30T12:16:41Z
dc.date.issued2019-12cs
dc.description.abstractIn complex indoor environments, the censoring, dropping, and multi-component problems may present in the observable data. This is due to the attenuation of signals, the unexpected operation of equipments, and the changing surrounding environment. Censoring refers to the fact that sensors on portable devices are unable to measure Received Signal Strength Index (RSSI) values below a certain threshold, for example, −100 dBm with typical smart phones. Dropping means that, occasionally, RSSI measurements of Wifi access points are not available, although their value is clearly above the censoring threshold. The multi-component problem occurs when the measured data varies due to obstacles as well as user directions; doors closed or open; and so forth. Taking these problems into consideration, this paper proposes a novel approach to enhance the performance of the Wifi Fingerprinting based Indoor Positioning System (WF-IPS). The proposed method is verified through simulated data and real field data. The experimental results show that our proposal outperforms the other state-of-the-art WF-IPS approach both in positioning accuracy and computational cost.en
dc.formattextcs
dc.format.extent740-748cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2019 vol. 28, č. 4, s. 740-748. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2019.0740en
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/186919
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttps://www.radioeng.cz/fulltexts/2019/19_04_0740_0748.pdfcs
dc.rightsCreative Commons Attribution 4.0 International licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectIPSen
dc.subjectEM algorithmen
dc.subjectcensored and dropped dataen
dc.subjectGaussian Mixture Model (GMM)en
dc.subjectBayesian Information Criterion (BIC).en
dc.titlePerformance Enhancement of Wi-Fi Fingerprinting-Based IPS by Accurate Parameter Estimation of Censored and Dropped Dataen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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