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An Empirical Study of the Transmission Power Setting for Bluetooth-Based Indoor Localization Mechanisms

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dc.contributor.authorLovón Melgarejo, Jesús
dc.contributor.authorBravo Rocca, Gusseppe
dc.contributor.authorOrozco Barbosa, Luis
dc.contributor.authorGarcía Varea, Ismael
dc.contributor.authorCastillo Cara, José Manuel
dc.date.accessioned2024-05-20T11:42:44Z
dc.date.available2024-05-20T11:42:44Z
dc.date.issued2017-06-07
dc.description.abstractNowadays, there is a great interest in developing accurate wireless indoor localization mechanisms enabling the implementation of many consumer-oriented services. Among the many proposals, wireless indoor localization mechanisms based on the Received Signal Strength Indication (RSSI) are being widely explored. Most studies have focused on the evaluation of the capabilities of different mobile device brands and wireless network technologies. Furthermore, different parameters and algorithms have been proposed as a means of improving the accuracy of wireless-based localization mechanisms. In this paper, we focus on the tuning of the RSSI fingerprint to be used in the implementation of a Bluetooth Low Energy 4.0 (BLE4.0) Bluetooth localization mechanism. Following a holistic approach, we start by assessing the capabilities of two Bluetooth sensor/receiver devices. We then evaluate the relevance of the RSSI fingerprint reported by each BLE4.0 beacon operating at various transmission power levels using feature selection techniques. Based on our findings, we use two classification algorithms in order to improve the setting of the transmission power levels of each of the BLE4.0 beacons. Our main findings show that our proposal can greatly improve the localization accuracy by setting a custom transmission power level for each BLE4.0 beacon.en
dc.description.versionversión publicada
dc.identifier.doihttps://doi.org/10.3390/s17061318
dc.identifier.issn1424-8220
dc.identifier.urihttps://hdl.handle.net/20.500.14468/12453
dc.journal.issue6
dc.journal.titleSensors
dc.journal.volume17
dc.language.isoen
dc.publisherMDPI
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.departmentInteligencia Artificial
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/deed.es
dc.subject.keywordsindoor positioning
dc.subject.keywordslocation fingerprinting
dc.subject.keywordsbluetooth
dc.subject.keywordsBLE4.0
dc.subject.keywordssupervised learning algorithm
dc.subject.keywordssignal processing
dc.subject.keywordsRSSI
dc.subject.keywordsmultipath fading
dc.subject.keywordstransmission power
dc.titleAn Empirical Study of the Transmission Power Setting for Bluetooth-Based Indoor Localization Mechanismses
dc.typejournal articleen
dc.typeartículoes
dspace.entity.typePublication
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