Distributed Resource Optimization With Blockchain Security for Immersive Digital Twin in IIoT

【Author】 Song, Jing; Kang, Ya; Song, Qingyang; Guo, Lei; Jamalipour, Abbas

【Source】IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

【影响因子】11.648

【Abstract】Virtual reality-embedded digital twin (VR-DT) service integrates digital twin with virtual reality to visualize the digital representation of real-world production, boosting the digital transformation of manufacturing industry in the Industrial Internet of Things (IIoT). Balanced against the advantages of the VR-DT service, its data-driven, computing-intensive, and security-sensitive features bring challenges to the current IIoT. Therefore, we propose a blockchain-based distributed resource allocation scheme to improve the average Quality of Service (QoS) of the VR-DT services with regard to service delay and transaction throughput. We formulate the joint optimization of channel assignment, subframe configuration, computing capacity allocation, and block size adjustment as a mixed-integer nonlinear programming problem. A fully decentralized multiagent compound-action actor-critic algorithm is developed to solve the QoS optimization problem. Simulation results demonstrate that our proposed scheme can efficiently improve the average QoS of the VR-DT services in a realizable way as compared to existing schemes.

【Keywords】Industrial Internet of Things; Digital twins; Resource management; Optimization; Blockchains; Quality of service; Computational modeling; Blockchain; deep reinforcement learning (DRL); digital twin (DT); multiagent; virtual reality (VR)

【发表时间】2023 MAY

【收录时间】2023-06-30

【文献类型】理论性文章

【主题类别】

区块链技术-协同技术-数字孪生