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dc.contributor.authorCelaya-Echarri, Mikel
dc.contributor.authorFroiz-Míguez, Iván
dc.contributor.authorAzpilicueta, Leyre
dc.contributor.authorFraga-Lamas, Paula
dc.contributor.authorLópez Iturri, Peio
dc.contributor.authorFalcone, Francisco
dc.contributor.authorFernández-Caramés, Tiago M.
dc.date.accessioned2020-08-25T08:12:06Z
dc.date.available2020-08-25T08:12:06Z
dc.date.issued2020-06-25
dc.identifier.citationM. Celaya-Echarri et al., "Building Decentralized Fog Computing-Based Smart Parking Systems: From Deterministic Propagation Modeling to Practical Deployment," in IEEE Access, vol. 8, pp. 117666-117688, 2020, doi: 10.1109/ACCESS.2020.3004745.es_ES
dc.identifier.issn2169-3536
dc.identifier.urihttp://hdl.handle.net/2183/26153
dc.description.abstract[Abstract] The traditional process of finding a vacant parking slot is often inefficient: it increases driving time, traffic congestion, fuel consumption and exhaust emissions. To address such problems, smart parking systems have been proposed to help drivers to find available parking slots faster using latest sensing and communications technologies. However, the deployment of the communications infrastructure of a smart parking is not straightforward due to multiple factors that may affect wireless propagation. Moreover, a smart parking system needs to provide not only accurate information on available spots, but also fast responses while guaranteeing the system availability even in the case of lacking connectivity. This article describes the development of a decentralized low-latency smart parking system: from its conception, design and theoretical simulation, to its empirical validation. Thus, this work first characterizes a real-world scenario and proposes a fog computing and Internet of Things (IoT) based communications architecture to provide smart parking services. Next, a thorough analysis on the wireless channel properties is carried out by means of an in-house developed deterministic 3D-Ray Launching (3D-RL) tool. The obtained results are validated through a real-world measurement campaign and then the communications architecture is implemented by using ZigBee sensor nodes. The implemented architecture also makes use of Bluetooth Low Energy beacons, an Android app, a decentralized database and fog computing gateways, whose performance is evaluated in terms of response latency and processing rate. Results show that the proposed system is able to deliver information to the drivers fast, with no need for relying on remote servers. As a consequence, the presented development methodology and communications evaluation tool can be useful for future smart parking developers, which can determine the optimal locations of the wireless transceivers during the simulation stage and then deploy a system that can provide fast responses and decentralized services.es_ES
dc.description.sponsorshipXunta de Galicia; ED431G2019/01es_ES
dc.description.sponsorshipAgencia Estatal de Investigación of Spain; TEC2016-75067-C4-1-Res_ES
dc.description.sponsorshipAgencia Estatal de Investigación of Spain; RED2018-102668-Tes_ES
dc.description.sponsorshipAgencia Estatal de Investigación of Spain; PID2019-104958RB-C42es_ES
dc.description.sponsorshipMinisterio de Ciencia, Innovación y Universidades; RTI2018-095499-B-C31es_ES
dc.language.isoenges_ES
dc.publisherInstitute of Electrical and Electronics Engineerses_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TEC2016-75067-C4-1-R/ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RED2018-102668-T/ES/RED COMONSENS
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-104958RB-C42/ES/AVANCES EN CODIFICACION Y PROCESADO DE SEÑAL PARA LA SOCIEDAD DIGITAL
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095499-B-C31/ES/IMPLEMENTACION DE ENTORNOS CONTEXTUALES INTERACTIVOS, CONECTADOS Y SEGUROS PARA EL TRANSPORTE FERROVIARIO DE PASAJEROS APOYADOS EN LA IOT Y TECNICAS DE SOFT COMPUTING
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095499-B-C31/ES/IMPLEMENTACION DE ENTORNOS CONTEXTUALES INTERACTIVOS, CONECTADOS Y SEGUROS PARA EL TRANSPORTE FERROVIARIO DE PASAJEROS APOYADOS EN LA IOT Y TECNICAS DE SOFT COMPUTING
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-104958RB-C42/ES/AVANCES EN CODIFICACION Y PROCESADO DE SEÑAL PARA LA SOCIEDAD DIGITAL
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RED2018-102668-T/ES/RED COMONSENS
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TEC2016-75067-C4-1-R/ES
dc.relation.urihttps://doi.org/10.1109/ACCESS.2020.3004745es_ES
dc.rightsAtribución 4.0 Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/es/*
dc.subjectWireless sensor networkses_ES
dc.subjectEdge computinges_ES
dc.subjectWireless communicationes_ES
dc.subjectComputational modelinges_ES
dc.subjectComputer architecturees_ES
dc.subjectBuildingses_ES
dc.subjectLogic gateses_ES
dc.titleBuilding Decentralized Fog Computing-Based Smart Parking Systems: From Deterministic Propagation Modeling to Practical Deploymentes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleIEEE Accesses_ES
UDC.volume8es_ES
UDC.startPage117666es_ES
UDC.endPage117688es_ES
dc.identifier.doi10.1109/ACCESS.2020.3004745


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