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dc.contributor.authorMiñambres Del Moral, María Dolores 
dc.contributor.authorRojo, Víctor
dc.contributor.authorLlanos Ferraris, Diego Rafael 
dc.date.accessioned2024-10-16T16:23:43Z
dc.date.available2024-10-16T16:23:43Z
dc.date.issued2021
dc.identifier.citationJornadas Sarteco 20/21 - XXXI Jornadas de Paralelismo, Málaga, España, septiembre 2021, pp. 677-681es
dc.identifier.isbn978-84-09-32487-3es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/70868
dc.descriptionProducción Científicaes
dc.description.abstractThe Raspberry Pi (RPi) boards family is not only a set of versatile devices suitable for quick prototyping, but robust, low-cost systems that can be used in production. For example, RPi 3B and RPi 3B+ models have integrated WiFi/Bluetooth interfaces , so they can be used to interact with Bluetooth Low Energy (BLE) beacons. In particular, distance among beacons and Raspberries can be inferred using the received signal strength indicator of Bluetooth signals. This feature allows to build low-cost indoor positioning systems, that in turn can be used to track people that works closely for disease prevention. In this paper we present the results of an empirical study that aims to determine whether RPi 3B and RPi 3B+ models are equally good to be used as receiving stations, and whether their relative orien-tations with respect to BLE beacons make any difference. Among other findings, in this work we show that the Bluetooth/WiFi antenna design of the RPi 3B+ receives different RSSI values depending on their orientation, thus being a poor choice for this application domain.es
dc.format.extent5 p.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherUniversidad de Málagaes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.subjectInformáticaes
dc.subject.classificationBLEes
dc.subject.classificationBluetoothes
dc.subject.classificationRaspberry Pies
dc.subject.classificationbeaconses
dc.subject.classificationIndoor positioninges
dc.titleDistance estimation to BLE beacons using Raspberry Pi 3 boards for indoor positioning and social tracking applicationses
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.identifier.doi10.5281/zenodo.11213335es
dc.relation.publisherversionhttps://www.researchgate.net/publication/363266894_Distance_estimation_to_BLE_beacons_using_Raspberry_Pi_3_boards_for_indoor_positioning_and_social_tracking_applicationses
dc.title.eventJornadas Sarteco 20/21 - XXXI Jornadas de Paralelismoes
dc.description.projectThis work is partially supported by the PERIL and PERIL 2 projects (UNIVERSI/17/VA/1, and INVESTUN-18-VA-0001), supported by the Consejería de Empleo, Castilla y León regional government (Spain) within the Universitas program. This program supports research projects carried out by the public universities of Castilla y León in the field of occupational health and safety. Diego R. Llanos is partially supported by the Consejería de Educación of Junta de Castilla y León, Ministerio de Economía, Industria y Competitividad of Spain, and European Regional Development Fund (ERDF) program: Project PCAS (TIN2017-88614-R), and Project PROPHET-2 (VA226P20).es
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones
dc.subject.unesco1203 Ciencia de Los Ordenadoreses
dc.subject.unesco3304 Tecnología de Los Ordenadoreses


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