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

Nowadays, 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 widel...

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Detalles Bibliográficos
Autores: Lovón Melgarejo, Jesús, Bravo Rocca, Gusseppe, Orozco Barbosa, Luis, García Varea, Ismael, Castillo-Cara, Manuel
Tipo de recurso: artículo
Fecha de publicación:2017
País:España
Institución:Universidad Nacional de Educación a Distancia
Repositorio:e-spacio. Repositorio Institucional de la UNED
Idioma:inglés
OAI Identifier:oai:e-spacio.uned.es:20.500.14468/12453
Acceso en línea:https://hdl.handle.net/20.500.14468/12453
Access Level:acceso abierto
Palabra clave:indoor positioning
location fingerprinting
bluetooth
BLE4.0
supervised learning algorithm
signal processing
RSSI
multipath fading
transmission power
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spelling An Empirical Study of the Transmission Power Setting for Bluetooth-Based Indoor Localization MechanismsLovón Melgarejo, JesúsBravo Rocca, GusseppeOrozco Barbosa, LuisGarcía Varea, IsmaelCastillo-Cara, Manuelindoor positioninglocation fingerprintingbluetoothBLE4.0supervised learning algorithmsignal processingRSSImultipath fadingtransmission powerNowadays, 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.MDPIe-Spacio UNED20242024-05-2020172017-06-0720172017-06-07journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14468/12453reponame:e-spacio. Repositorio Institucional de la UNEDinstname:Universidad Nacional de Educación a DistanciaInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/deed.esoai:e-spacio.uned.es:20.500.14468/124532026-06-06T12:38:31Z
dc.title.none.fl_str_mv An Empirical Study of the Transmission Power Setting for Bluetooth-Based Indoor Localization Mechanisms
title An Empirical Study of the Transmission Power Setting for Bluetooth-Based Indoor Localization Mechanisms
spellingShingle An Empirical Study of the Transmission Power Setting for Bluetooth-Based Indoor Localization Mechanisms
Lovón Melgarejo, Jesús
indoor positioning
location fingerprinting
bluetooth
BLE4.0
supervised learning algorithm
signal processing
RSSI
multipath fading
transmission power
title_short An Empirical Study of the Transmission Power Setting for Bluetooth-Based Indoor Localization Mechanisms
title_full An Empirical Study of the Transmission Power Setting for Bluetooth-Based Indoor Localization Mechanisms
title_fullStr An Empirical Study of the Transmission Power Setting for Bluetooth-Based Indoor Localization Mechanisms
title_full_unstemmed An Empirical Study of the Transmission Power Setting for Bluetooth-Based Indoor Localization Mechanisms
title_sort An Empirical Study of the Transmission Power Setting for Bluetooth-Based Indoor Localization Mechanisms
dc.creator.none.fl_str_mv Lovón Melgarejo, Jesús
Bravo Rocca, Gusseppe
Orozco Barbosa, Luis
García Varea, Ismael
Castillo-Cara, Manuel
author Lovón Melgarejo, Jesús
author_facet Lovón Melgarejo, Jesús
Bravo Rocca, Gusseppe
Orozco Barbosa, Luis
García Varea, Ismael
Castillo-Cara, Manuel
author_role author
author2 Bravo Rocca, Gusseppe
Orozco Barbosa, Luis
García Varea, Ismael
Castillo-Cara, Manuel
author2_role author
author
author
author
dc.contributor.none.fl_str_mv e-Spacio UNED
dc.subject.none.fl_str_mv indoor positioning
location fingerprinting
bluetooth
BLE4.0
supervised learning algorithm
signal processing
RSSI
multipath fading
transmission power
topic indoor positioning
location fingerprinting
bluetooth
BLE4.0
supervised learning algorithm
signal processing
RSSI
multipath fading
transmission power
description Nowadays, 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.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-06-07
2017
2017-06-07
2024
2024-05-20
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14468/12453
url https://hdl.handle.net/20.500.14468/12453
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/deed.es
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/deed.es
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:e-spacio. Repositorio Institucional de la UNED
instname:Universidad Nacional de Educación a Distancia
instname_str Universidad Nacional de Educación a Distancia
reponame_str e-spacio. Repositorio Institucional de la UNED
collection e-spacio. Repositorio Institucional de la UNED
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.812429

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