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dc.creatorFraga Lamas, Paulaes_ES
dc.creatorLópez Iturri, Peioes_ES
dc.creatorCelaya Echarri, Mikeles_ES
dc.creatorBlanco Novoa, Óscares_ES
dc.creatorAzpilicueta Fernández de las Heras, Leyrees_ES
dc.creatorVarela Barbeito, Josées_ES
dc.creatorFalcone Lanas, Francisco Javieres_ES
dc.creatorFernández Caramés, Tiago M.es_ES
dc.date.accessioned2020-08-05T06:00:29Z
dc.date.available2020-08-05T06:00:29Z
dc.date.issued2020
dc.identifier.citationP. Fraga-Lamas et al., 'Design and Empirical Validation of a Bluetooth 5 Fog Computing Based Industrial CPS Architecture for Intelligent Industry 4.0 Shipyard Workshops,' in IEEE Access, vol. 8, pp. 45496-45511, 2020, doi: 10.1109/ACCESS.2020.2978291.en
dc.identifier.issn2169-3536
dc.identifier.urihttps://hdl.handle.net/2454/37662
dc.description.abstractNavantia, one of largest European shipbuilders, is creating a fog computing based Industrial Cyber-Physical System (ICPS) for monitoring in real-time its pipe workshops in order to track pipes and keep their traceability. The deployment of the ICPS is a unique industrial challenge in terms of communications, since in a pipe workshop there is a significant number of metallic objects with heterogeneous typologies. There are multiple technologies that can be used to track pipes, but this article focuses on Bluetooth 5, which is a relatively new technology that represents a cost-effective solution to cope with harsh environments, since it has been significantly enhanced in terms of low power consumption, range, speed and broadcasting capacity. Thus, it is proposed a Bluetooth 5 fog computing based ICPS architecture that is designed to support physically-distributed and low-latency Industry 4.0 applications that off-load network traffic and computational resources from the cloud. In order to validate the proposed ICPS design, one of the Navantia's pipe workshops was modeled through an in-house developed 3D-ray launching radio planning simulator that allows for estimating the coverage provided by the deployed Bluetooth 5 fog computing nodes and Bluetooth 5 tags. The experiments described in this article show that the radio propagation results obtained by the simulation tool are really close to the ones obtained through empirical measurements. As a consequence, the simulation tool is able to reduce ICPS design and deployment time and provide guidelines to future developers when deploying Bluetooth 5 fog computing nodes and tags in complex industrial scenarios.en
dc.description.sponsorshipThis work was supported in part by the Auto-ID for Intelligent Products research line of the Navantia-UDC Joint Research Unit under Grant IN853B-2018/02, and in part by the Ministerio de Ciencia, Innovación y Universidades, Gobierno de España (MCIU/AEI/FEDER,UE) under Grant RTI2018-095499-B-C31.en
dc.format.extent16 p.
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherIEEEen
dc.relation.ispartofIEEE Access, 2020, vol. 8, 45496-45511en
dc.rightsThis work is licensed under a Creative Commons Attribution 4.0 License.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectIndustry 4.0en
dc.subjectIIoTen
dc.subjectCyber-physical systemen
dc.subjectICPSen
dc.subjectFog computingen
dc.subjectEdge computingen
dc.subjectShipyard 4.0en
dc.subjectBluetooth 5en
dc.subjectLP-WANen
dc.subject3D ray launchingen
dc.titleDesign and empirical validation of a Bluetooth 5 fog computing based industrial CPS architecture for intelligent industry 4.0 shipyard workshopsen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeArtículo / Artikuluaes
dc.contributor.departmentIngeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.contributor.departmentIngeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritzaeu
dc.contributor.departmentInstitute of Smart Cities - ISCes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.identifier.doi10.1109/ACCESS.2020.2978291
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095499-B-C31/ES/en
dc.relation.publisherversionhttps://doi.org/10.1109/ACCESS.2020.2978291
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.type.versionVersión publicada / Argitaratu den bertsioaes


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