Proceedings of the 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020, 27-28 August 2020, Cyberspace

Research Article

Blockchain-Based Collaborative Decision-Making in Vehicular Networks

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  • @INPROCEEDINGS{10.4108/eai.27-8-2020.2294370,
        author={Dezhen  Wang and Rongqing  Zhang and Shengjie  Zhao},
        title={Blockchain-Based Collaborative Decision-Making in Vehicular Networks},
        proceedings={Proceedings of the 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020, 27-28 August 2020, Cyberspace},
        publisher={EAI},
        proceedings_a={MOBIMEDIA},
        year={2020},
        month={11},
        keywords={blockchain collaborative decision-making vehicular networks data credibility},
        doi={10.4108/eai.27-8-2020.2294370}
    }
    
  • Dezhen Wang
    Rongqing Zhang
    Shengjie Zhao
    Year: 2020
    Blockchain-Based Collaborative Decision-Making in Vehicular Networks
    MOBIMEDIA
    EAI
    DOI: 10.4108/eai.27-8-2020.2294370
Dezhen Wang1, Rongqing Zhang1,*, Shengjie Zhao1
  • 1: Tongji University
*Contact email: rongqingz@tongji.edu.cn

Abstract

Collaborative decision-making (CDM) in vehicular networks can greatly improve the driving efficiency of vehicles. However, vehicle clusters often have serious security threats. To solve this issue, we propose a blockchain-based collaborative decision-making (BCDM) model, which is divided into two parts: the architecture level and the algorithm level. At the architectural level, we employ blockchain into vehicular networks and propose a layered blockchain network architecture (LBNA) that not only eases the data calculation and storage pressure of vehicular networks, but also further guarantees the security of the system. At the algorithm level, a BCDM algorithm combining direct trust and indirect trust is provided to determine the occurrence of traffic events and identify false messages. Simulation results reveal that the proposed system is effective and feasible in processing and storing trust information in vehicular networks.