Intelligent Blockchain-Enabled Adaptive Collaborative Resource Scheduling in Large-Scale Industrial Internet of Things

【Author】 Lin, Kai; Gao, Jian; Han, Guangjie; Wang, Haohua; Li, Chao

【Source】IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

【影响因子】11.648

【Abstract】With the explosive growth of devices and tasks deployed in the industrial Internet of Things (IIoT), the lack of interconnection and collaboration between devices leads to poor timeliness and security in IIoT resource scheduling. This article focuses on the issue of adaptive scheduling of resources in large-scale IIoT. First, a collaborative terminal-edge IIoT architecture is designed, which introduces blockchain and AI technology to support dynamic resource scheduling in untrustworthy environments. Then, a smart contract-based multidimensional resource transaction model is developed to improve the efficiency and security of resource scheduling by establishing a credit-based consensus mechanism. Distributed transaction learning resource scheduling algorithm is further proposed to implement resource-adaptive scheduling between devices in IIoT. Extensive simulation experiments are conducted to evaluate the proposed method with respect to several performance aspects covering the scheduling decision delay, transaction generation ratio, and security. The obtained results demonstrate that the comprehensive scheduling performance of the proposed method outperforms other existing algorithms.

【Keywords】Industrial Internet of Things; Job shop scheduling; Blockchains; Dynamic scheduling; Collaboration; Processor scheduling; Security; Blockchain technology; deep reinforcement learning; industrial Internet of Things (IIoT); resource transaction

【发表时间】2022 DEC

【收录时间】2022-10-17

【文献类型】实验仿真

【主题类别】

区块链应用-实体经济-工业领域