The global internet of vehicles market is growing rapidly, it is estimated to increase significantly its value by the next few years. Vehicular Ad hoc Networks (VANETs) has a central role in the development of Intelligent Transportation System, since vehicles can communicate with each other. This paper proposes a model integrating both 5G and Blockchain for vehicular ad-hoc network management. This choice is motivated by the need of guaranteeing secure and reliable information exchange between vehicles. 5G provides low latency communication improving both V2V (Vehicle to Vehicle) and V2I (Vehicle to Infrastructure) connections increasing considerably their trustworthiness. On the other side, BlockChain offers a distributed ledger, enhancing security and data reliability. These technologies together with VANETs mechanism can provide multiple new opportunities and uses, such as automating braking system. In this work, not only we provide a complete overview of these technologies, but also we suggest a new research topic, based on the integration of such technologies with VANETs environment, to obtain a very robust network, and hence a safer traffic management.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Integration of 5G, VANETs and Blockchain Technology


    Contributors:


    Publication date :

    2020-12-01


    Size :

    646923 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Blockchain based Content Sharing Management in VANETs

    Lin, Feng / Peng, Yi / Cui, Taiping et al. | IEEE | 2021


    Blockchain in Digital Twins-Based Vehicle Management in VANETs

    Feng, Hailin / Chen, Dongliang / Lv, Zhihan | IEEE | 2022



    A Privacy-Preserving Authentication Scheme for VANETs based on Consortium Blockchain

    Zhang, Yujian / Tong, Fei / Xu, Yuwei et al. | IEEE | 2020


    Blockchain-Based Privacy-Preserving and Sustainable Data Query Service Over 5G-VANETs

    Yeh, Lo-Yao / Shen, Nong-Xiang / Hwang, Ren-Hung | IEEE | 2022