Blockchain-Aided Network Resource Orchestration in Intelligent Internet of Things

【Author】 Wang, Chao; Jiang, Chunxiao; Wang, Jingjing; Shen, Shigen; Guo, Song; Zhang, Peiying

【Source】IEEE INTERNET OF THINGS JOURNAL

【影响因子】10.238

【Abstract】The proliferation of users and data traffic poses substantial pressure on resource management in the Internet of Things (IoT). In addition to beneficially allocating scarce network resources, it also needs to meet differentiated users' Quality-of-Service (QoS) requirements, such as low delay, high security, etc. The distributed management architecture of blockchain and its inherent security features bring inspiration to resource management in the IoT. In this article, we propose a blockchain-enabled resource orchestration scheme for IoT by deep reinforcement learning (DRL), where the IoT edge server and the end user can reach a consensus on the allocation of network resources based on blockchain theory. Moreover, relying on the policy network, the intelligent agent can be trained by these resource attributes to fully perceive the change of the network's state and hence make dynamic resource allocation decisions. Finally, simulation results show that the proposed resource orchestration scheme has good performance in comparison to other security resource allocation algorithms. The average revenue, the user request acceptance rate, and the profitability are increased by an average of 8.5%, 1.8%, and 11.9%, respectively, compared with other algorithms.

【Keywords】Resource management; Blockchains; Security; Servers; Internet of Things; Delays; Edge computing; Blockchain; deep reinforcement learning (DRL); Index Terms; Internet of Things (IoT); resource allocation

【发表时间】2023 1-Apr

【收录时间】2023-05-17

【文献类型】实验仿真

【主题类别】

区块链技术-协同技术-物联网