Blockchain-Enabled Adaptive-Learning-Based Resource-Sharing Framework for IIoT Environment

【Author】 Iqbal, Sarah; Noor, Rafidah Md; Malik, Asad Waqar; Rahman, Anis U.

【Source】IEEE INTERNET OF THINGS JOURNAL

【影响因子】10.238

【Abstract】The industrial Internet of Things (IIoT) has emerged as an essential paradigm to enhance industrial operations and productivity through efficient utilization of available resources. The paradigm allows industrial devices to share computing resources based on locality constraints to support innovative services. In this article, we propose a trusted multihop collaborative computing model for the efficient utilization of nearby devices in an IIoT environment. To establish trust, we explore a social-aware incentive scheme managed by network edge, using distributed ledgers. The extensive simulation results demonstrate the effectiveness of the proposed model in the presence of malicious nodes in the industrial environment.

【Keywords】Task analysis; Industrial Internet of Things; Computational modeling; Resource management; Blockchain; Servers; Delays; Adaptive learning; blockchain; device trust management; industrial IoT; task offloading

【发表时间】2021 OCT 1

【收录时间】2022-01-01

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