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

Research Article

Blockchain-Based Vehicular Collaborative Computing

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  • @INPROCEEDINGS{10.4108/eai.27-8-2020.2294371,
        author={Qibin  Zheng and Rongqing  Zhang and Shengjie  Zhao},
        title={Blockchain-Based Vehicular Collaborative Computing},
        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={internet of vehicles blockchain collaborative computing},
        doi={10.4108/eai.27-8-2020.2294371}
    }
    
  • Qibin Zheng
    Rongqing Zhang
    Shengjie Zhao
    Year: 2020
    Blockchain-Based Vehicular Collaborative Computing
    MOBIMEDIA
    EAI
    DOI: 10.4108/eai.27-8-2020.2294371
Qibin Zheng1, Rongqing Zhang1,*, Shengjie Zhao1
  • 1: Tongji University
*Contact email: rongqingz@tongji.edu.cn

Abstract

Collaborative computing among vehicles on the road has been regarded as a promising application for connected and intelligent vehicles as new computing and communication technologies emerge. Instead of using cloud computing services, a vehicle can complete computing-intensive tasks by making use of neighboring vehicles' idle computing resources and meanwhile, pay for this service to the assisting vehicles to increase their incentive to participate in such collaborative computing tasks. In collaborative computing among vehicles, how to balance the profits of both sides need to be investigated. What's more, the reliability of transactions is also a concerning problem. In this paper, we first introduce a collaborative computing scenario and propose a two-layer blockchain architecture to enhance the reliability of transactions. Then, we propose a coalition formation game-based collaborative computing algorithm to efficiently achieve effective computing coalition formation in a distributed manner. Simulation results show that the proposed algorithm can significantly improve the vehicles' utilities as well as the task performance.