Proximal policy optimization-based committee selection algorithm in blockchain-enabled mobile edge computing systems

【Author】 Wu, Wenjun; Sun, Dehao; Jin, Kaiqi; Sun, Yang; Si, Pengbo

【Source】CHINA COMMUNICATIONS

【影响因子】3.170

【Abstract】To cope with the low latency requirements and security issues of the emerging applications such as Internet of Vehicles (IoV) and Industrial Internet of Things (IIoT), the blockchain-enabled Mobile Edge Computing (MEC) system has received extensive attention. However, blockchain is a computing and communication intensive technology due to the complex consensus mechanisms. To facilitate the implementation of blockchain in the MEC system, this paper adopts the committee-based Practical Byzantine Fault Tolerance (PBFT) consensus algorithm and focuses 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 according to the wireless channel quality and the available 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 communication complexity of the consensus process constitute the performance index. The committee selection problem is modeled as a Markov decision process, and the Proximal Policy Optimization (PPO) algorithm is adopted in the solution. Simulation results show that the proposed PPO-based committee selection algorithm can adapt to the system design requirements with different emphases and outperforms other comparison methods.

【Keywords】Blockchains; Task analysis; Servers; Resource management; Industrial Internet of Things; Consensus algorithm; Real-time systems; blockchain; mobile edge computing; deep reinforcement learning; consensus mechanism

【发表时间】2022 JUN

【收录时间】2022-07-10

【文献类型】实证性文章

【主题类别】

区块链技术-协同技术-边缘计算