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An Analysis of Multiple Criteria and Setups for Bluetooth Smartphone-Based Indoor Localization Mechanism

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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.accessioned2024-05-20T11:42:05Z
dc.date.available2024-05-20T11:42:05Z
dc.date.issued2017-10-23
dc.description.abstractBluetooth Low Energy (BLE) 4.0 beacons will play a major role in the deployment of energy-efficient indoor localization mechanisms. Since BLE4.0 is highly sensitive to fast fading impairments, numerous ongoing studies are currently exploring the use of supervised learning algorithm as an alternative approach to exploit the information provided by the indoor radio maps. Despite the large number of results reported in the literature, there are still many open issues on the performance evaluation of such approach. In this paper, we start by identifying, in a simple setup, the main system parameters to be taken into account on the design of BLE4.0 beacons-based indoor localization mechanisms. In order to shed some light on the evaluation process using supervised learning algorithm, we carry out an in-depth experimental evaluation in terms of the mean localization error, local prediction accuracy, and global prediction accuracy. Based on our results, we argue that, in order to fully assess the capabilities of supervised learning algorithms, it is necessary to include all the three metrics.en
dc.description.versionversión publicada
dc.identifier.doihttps://doi.org/10.1155/2017/1928578
dc.identifier.issn1687-725X ; eISSN: 1687-7268
dc.identifier.urihttps://hdl.handle.net/20.500.14468/12438
dc.journal.titleJournal of Sensors
dc.journal.volume2017
dc.language.isoen
dc.publisherHindawi
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.titleAn Analysis of Multiple Criteria and Setups for Bluetooth Smartphone-Based Indoor Localization Mechanismes
dc.typejournal articleen
dc.typeartículoes
dspace.entity.typePublication
relation.isAuthorOfPublicationc0e39bd2-c0d8-4743-953d-488baf6b977e
relation.isAuthorOfPublication.latestForDiscoveryc0e39bd2-c0d8-4743-953d-488baf6b977e
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