To cope with the low latency require-ments and security issues of the emerging applications such as Internet of Vehicles(IoV)and Industrial Inter-net of Things(IIoT),the blockchain-enabled Mobile Edge Computing(MEC)system has received exten-sive attention.However,blockchain is a computing and communication intensive technology due to the complex consensus mechanisms.To facilitate the im-plementation of blockchain in the MEC system,this paper adopts the committee-based Practical Byzantine Fault Tolerance(PBFT)consensus algorithm and fo-cuses on the committee selection problem.Vehicles and IIoT devices generate the transactions which are records of the application tasks.Base Stations(BSs)with MEC servers,which serve the transactions ac-cording to the wireless channel quality and the avail-able computing resources,are blockchain nodes and candidates for committee members.The income of transaction service fees,the penalty of service delay,the decentralization of the blockchain and the com-munication complexity of the consensus process con-stitute the performance index.The committee selec-tion problem is modeled as a Markov decision pro-cess,and the Proximal Policy Optimization(PPO)al-gorithm is adopted in the solution.Simulation results show that the proposed PPO-based committee selec-tion algorithm can adapt to the system design require-ments with different emphases and outperforms other comparison methods.

Wenjun Wu;Dehao Sun;Kaiqi Jin;Yang Sun;Pengbo Si

Faculty of Information Technology,Beijing University of Technology,Beijing 100124,China

中国通信（英文版）

[1]Wenjun Wu;Dehao Sun;Kaiqi Jin;Yang Sun;Pengbo Si-.Proximal Policy Optimization-Based Committee Selection Algorithm in Blockchain-Enabled Mobile Edge Computing Systems)[J].中国通信（英文版）,2022(06):50-65

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