Blockchain-enabled adaptive-learning-based resource-sharing framework for IIoT environment
Document Type
Article
Publication Date
10-1-2021
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
Divisions
Computer
Publication Title
IEEE Internet of Things Journal
Volume
8
Issue
19
Publisher
IEEE-Inst Electrical Electronics Engineers Inc
Publisher Location
445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA