Mobile Edge Computing (MEC) is a key enabler for the deployment of vehicular use cases, as it guarantees low latency and high bandwidth requirements. In this paper, we propose a MEC-based cooperative Collision Avoidance (MECAV) system designed to anticipate the detection and localization of road hazards. It includes a Collision Avoidance service, allocated in the MEC infrastructure, which receives information of status and detected hazards from vehicles, processes this information, and selectively informs to each vehicle that either approaches to road hazards or to other vehicles. We have implemented a proof-of-concept of the MECAV system and we have validated its architecture and functionalities. ; Grant numbers : This work has been partially funded by the spanish MINECO project SPOT5G (TEC2017-87456-P), the H2020 project 5GCroCo - - 5G Cross-border Controlfunded under grant agreement No. 825050, and by Generalitat de Catalunya under Grant 2017 SGR 891.Suport als Grups de Recerca, "Grup de Tecnologies de les Comunicacions Ràdio" @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.


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    Titel :

    Demo: A Mobile Edge Computing-based Collision Avoidance System for Future Vehicular Networks


    Beteiligte:

    Erscheinungsdatum :

    2019-04-29



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629




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