Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/70818
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dc.contributor.authorDe Blasio , Gabriele Salvatoreen_US
dc.contributor.authorQuesada Arencibia, Francisco Alexisen_US
dc.contributor.authorGarcía Rodríguez, Carmelo Rubénen_US
dc.contributor.authorRodríguez Rodríguez, José Carlosen_US
dc.date.accessioned2020-03-10T14:26:39Z-
dc.date.available2020-03-10T14:26:39Z-
dc.date.issued2019en_US
dc.identifier.isbn978-84-09-09208-6en_US
dc.identifier.other17th International Conference on Computer Aided Systems Theory, Eurocast 2019. Extended Abstracts / Alexis Quesada-Arencibia; José Carlos Rodríguez-Rodríguez; Roberto Moreno-Díaz; Roberto Moreno-Díaz jr; Gabriel de Blasio; Carmelo Rubén García (edits), p. 29-
dc.identifier.urihttp://hdl.handle.net/10553/70818-
dc.description.abstractIndoor Positioning Systems (IPS) are used to locate people or things in those environments where the Global Position System (GPS) fails due to signal attenuation. Depending on the type of signal employed, can be classified into: radio frequency, light, sound and magnetic fields IPS systems [3]. Among those technologies which use radio frequency signals we can find Bluetooth Low Energy (BLE) which is widely used in Ubiquitous Computing and in many Internet of Things (IoT) applications [2]. There are several advantages o↵ered by BLE: their emitters or beacons are portable, battery-powered, small, lightweight, easily deployable, have low-energy consumption and Received Signal Strength (RSS) readings (the measurements of the power present in a received radio signal) are relatively easy to collect, producing positioning results with high accuracy and precision [4]. BLE technology can also provide advanced services that are directly linked to indoor positioning and especially useful in many places, e.g. public transport stations: in such environments, these services can provide users with station guides, ticket sales or online information [1]. There are di↵erent challenges when working in indoor positioning using BLE technology, for example the signal is susceptible to path loss, RSS readings su↵er large fluctuations and degradation due to dynamical environments or multipath fading [5]. Another important challenge associated with BLE indoor positioning is the fact that mobile devices do not distinguish between the three radio frequency channels in which the beacons emit, so using the aggregation of these three signals combining their RSS values, may lead to a reduced positioning accuracy [6], [2]. The aim of this paper is to review the state of the art of BLE-based indoor positioning systems including its main methods and algorithms.en_US
dc.languageengen_US
dc.publisherUniversidad de Las Palmas de Gran Canaria (ULPGC)en_US
dc.sourceEUROCAST 2019. Computer Aided Systems Theory. Extended abstracts / Alexis Quesada-Arencibia; José Carlos Rodríguez; Roberto Moreno-Díaz; Roberto Moreno-Díaz jr.; Gabriel de Blasio; Carmelo Rubén García (eds.), p. 29-30en_US
dc.subject1203 Ciencia de los ordenadoresen_US
dc.subject.otherIndoor positioningen_US
dc.subject.otherBluetooth low energyen_US
dc.titleA survey on bluetooth low energy indoor positioning systemsen_US
dc.typeinfo:eu-repo/semantics/conferenceobjecten_US
dc.typeConferenceObjecten_US
dc.relation.conferenceInternational Conference on Computer Aided Systems Theory (EUROCAST 2019)en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.utils.revisionen_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-INFen_US
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR IUCES: Computación inteligente, percepción y big data-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR IUCES: Computación inteligente, percepción y big data-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR IUCES: Computación inteligente, percepción y big data-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR IUCES: Computación inteligente, percepción y big data-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0002-6233-567X-
crisitem.author.orcid0000-0002-8313-5124-
crisitem.author.orcid0000-0003-1433-3730-
crisitem.author.orcid0000-0003-2186-3094-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.fullNameDe Blasio, Gabriele Salvatore-
crisitem.author.fullNameQuesada Arencibia, Francisco Alexis-
crisitem.author.fullNameGarcía Rodríguez, Carmelo Rubén-
crisitem.author.fullNameRodríguez Rodríguez, José Carlos-
crisitem.event.eventsstartdate17-02-2019-
crisitem.event.eventsenddate22-02-2019-
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