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A MEC-based Extended Virtual Sensing for Automotive Services

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dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Network Technologieses
dc.contributor.authorAvino, Giuseppe
dc.contributor.authorGiordanino, Marina
dc.contributor.authorFrangoudis, Pantelis A.
dc.contributor.authorVitale, Christian
dc.contributor.authorCasetti, Claudio
dc.contributor.authorChiasserini, Carla-Fabiana
dc.contributor.authorGebru, Kalkidan
dc.contributor.authorKsentini, Adlen
dc.contributor.authorStojanovic, Aleksandra
dc.contributor.funderEuropean Commissiones
dc.date.accessioned2019-11-04T12:10:08Z
dc.date.available2019-11-04T12:10:08Z
dc.date.issued2019-08
dc.descriptionThis paper has been presented at: AEIT International Conference of Electrical and Electronic Technologies for Automotive (2019 AEIT AUTOMOTIVE)es
dc.description.abstractMulti-access Edge Computing (MEC) promises to enable low-latency applications and to reduce the impact of edge service traffic on the core network. Leveraging on the extension of the popular OpenAir Interface (OAI) architecture to include MEC functionalities, in this paper we show the impact of edge computing resources on a crucial vertical domain, i.e., the automotive domain. As a key example, we focus on a relevant class of automotive services, namely, the Extended Virtual Sensing (EVS) services. With EVS, the network infrastructure collects and makes available measurements gathered by sensors aboard vehicles, as well as by smart city sensors, to improve road safety and passengers/driver comfort. Specifically, we select the EVS application that extends the vehicle sensing capability for supporting vehicle collision avoidance at intersections, and we describe its implementation within the OAI MEC platform. We evaluate the performance of the designed solution emulating the Cooperative Awareness Messages (CAMs) of several vehicles, using a Software Defined Radio (SDR) equipment. We then show experimentally that the MEC infrastructure is pivotal to meeting low-latency requirements and allows detecting all collisions between vehicles, thus proving to be of great benefit to the support of critical automotive services.es
dc.description.sponsorshipThis work was supported by the European Commission through the H2020 5G-TRANSFORMER project (Project ID 761536).es
dc.format.extent6es
dc.identifier.bibliographicCitationAvino, G., Giordanino, M., Frangoudis, P. A., Vitale, C., Casetti, C., Chiasserini, F. C., ... Stojanovic, A. (2019). A MEC-based Extended Virtual Sensing for Automotive Services. In Proceedings of the 2019 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE).es
dc.identifier.doihttps://doi.org/10.23919/EETA.2019.8804512
dc.identifier.isbn978-8-8872-3743-6
dc.identifier.publicationtitleProceedings of the 2019 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE)es
dc.identifier.urihttps://hdl.handle.net/10016/29112
dc.language.isoenges
dc.publisherIEEEes
dc.relation.eventdate2-4 July 2019es
dc.relation.eventplaceTorino, Italyes
dc.relation.eventtitle2019 AEIT International Conference of Electrical and Electronic Technologies for Automotive (2019 AEIT AUTOMOTIVE)es
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/761536es
dc.rights© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.es
dc.rights.accessRightsopen accesses
dc.subject.ecienciaTelecomunicacioneses
dc.subject.other5G networkses
dc.subject.otherRoad safety serviceses
dc.subject.otherExtended virtual sensinges
dc.subject.otherMulti-access edge computinges
dc.subject.otherV2I communicationses
dc.titleA MEC-based Extended Virtual Sensing for Automotive Serviceses
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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