Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/72265
Campo DC | Valor | idioma |
---|---|---|
dc.contributor.author | De Blasio , Gabriele Salvatore | en_US |
dc.contributor.author | Quesada-Arencibia, A. | en_US |
dc.contributor.author | García, Carmelo R. | en_US |
dc.contributor.author | Rodríguez-Rodríguez, José Carlos | en_US |
dc.date.accessioned | 2020-05-11T19:20:52Z | - |
dc.date.available | 2020-05-11T19:20:52Z | - |
dc.date.issued | 2020 | en_US |
dc.identifier.isbn | 978-3-030-45092-2 | en_US |
dc.identifier.issn | 0302-9743 | en_US |
dc.identifier.other | Scopus | - |
dc.identifier.uri | http://hdl.handle.net/10553/72265 | - |
dc.description.abstract | Indoor Positioning Systems (IPS) are an alternative to Global Positioning System (GPS) in those environments where its signal is attenuated. This is one of the main reasons why IPS has been the subject of much research over the last two decades and where different technologies and methods have been used. Among the technologies used in IPS are those that use radio frequency (RF) signals, such as Bluetooth Low Energy (BLE) or Wi-Fi. BLE is widely used in ubiquitous computing and in many applications of the Internet of Things (IoT) mainly due to its low power consumption and because it can provide advanced services to users. The aim of this paper is to provide an overview of the state of the art of BLE-based IPS including its main methods and algorithms. | en_US |
dc.language | eng | en_US |
dc.publisher | Springer | en_US |
dc.relation.ispartof | Lecture Notes in Computer Science | en_US |
dc.source | Computer Aided Systems Theory – EUROCAST 2019. EUROCAST 2019. Lecture Notes in Computer Science, v. 12013 LNCS, p. 83-90, (Enero 2020) | en_US |
dc.subject | 120317 Informática | en_US |
dc.subject.other | Bluetooth low energy | en_US |
dc.subject.other | Indoor positioning system | en_US |
dc.title | Bluetooth low energy technology applied to indoor positioning systems: an overview | en_US |
dc.type | info:eu-repo/semantics/bookPart | en_US |
dc.type | Book part | en_US |
dc.relation.conference | International Conference on Computer Aided Systems Theory (EUROCAST 2019) | en_US |
dc.identifier.doi | 10.1007/978-3-030-45093-9_11 | en_US |
dc.identifier.scopus | 85083994040 | - |
dc.contributor.authorscopusid | 8935044600 | - |
dc.contributor.authorscopusid | 13006053800 | - |
dc.contributor.authorscopusid | 7401486323 | - |
dc.contributor.authorscopusid | 8925188600 | - |
dc.identifier.eissn | 1611-3349 | - |
dc.description.lastpage | 90 | en_US |
dc.description.firstpage | 83 | en_US |
dc.relation.volume | 12013 LNCS | en_US |
dc.investigacion | Ingeniería y Arquitectura | en_US |
dc.type2 | Capítulo de libro | en_US |
dc.identifier.eisbn | 978-3-030-45093-9 | - |
dc.utils.revision | Sí | en_US |
dc.date.coverdate | Enero 2020 | en_US |
dc.identifier.supplement | 0302-9743 | - |
dc.identifier.supplement | 0302-9743 | - |
dc.identifier.ulpgc | Sí | en_US |
dc.identifier.ulpgc | Sí | en_US |
dc.identifier.ulpgc | Sí | en_US |
dc.identifier.ulpgc | Sí | en_US |
dc.contributor.buulpgc | BU-INF | en_US |
dc.contributor.buulpgc | BU-INF | en_US |
dc.contributor.buulpgc | BU-INF | en_US |
dc.contributor.buulpgc | BU-INF | en_US |
dc.description.sjr | 0,249 | |
dc.description.sjrq | Q3 | |
dc.description.spiq | Q1 | |
item.fulltext | Sin texto completo | - |
item.grantfulltext | none | - |
crisitem.author.dept | GIR IUCES: Computación inteligente, percepción y big data | - |
crisitem.author.dept | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.dept | Departamento de Informática y Sistemas | - |
crisitem.author.dept | GIR IUCES: Computación inteligente, percepción y big data | - |
crisitem.author.dept | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.dept | Departamento de Informática y Sistemas | - |
crisitem.author.dept | GIR IUCES: Computación inteligente, percepción y big data | - |
crisitem.author.dept | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.dept | Departamento de Informática y Sistemas | - |
crisitem.author.dept | GIR IUCES: Computación inteligente, percepción y big data | - |
crisitem.author.dept | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.dept | Departamento de Informática y Sistemas | - |
crisitem.author.orcid | 0000-0002-6233-567X | - |
crisitem.author.orcid | 0000-0002-8313-5124 | - |
crisitem.author.orcid | 0000-0003-1433-3730 | - |
crisitem.author.orcid | 0000-0003-2186-3094 | - |
crisitem.author.parentorg | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.parentorg | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.parentorg | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.parentorg | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.fullName | De Blasio, Gabriele Salvatore | - |
crisitem.author.fullName | Quesada Arencibia, Francisco Alexis | - |
crisitem.author.fullName | García Rodríguez, Carmelo Rubén | - |
crisitem.author.fullName | Rodríguez Rodríguez, José Carlos | - |
crisitem.event.eventsstartdate | 17-02-2019 | - |
crisitem.event.eventsenddate | 22-02-2019 | - |
Colección: | Capítulo de libro |
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