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

doi:10.1109/JIOT.2021.3071562

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

2021-10-01

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AI

DOI：10.1109/JIOT.2021.3071562

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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.

Keyword:

Task analysis

Industrial Internet of Things

Computational modeling

Resource management

Blockchain

Servers

Delays

Adaptive learning

blockchain

device trust management

industrial IoT

task offloading

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

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