Blockchain-enabled adaptive-learning-based resource-sharing framework for IIoT environment

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 innovativ...

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Main Authors: Iqbal, Sarah, Noor, Rafidah Md, Malik, Asad Waqar, Rahman, Anis U.
Format: Article
Published: IEEE-Inst Electrical Electronics Engineers Inc 2021
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Online Access:http://eprints.um.edu.my/26366/
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Institution: Universiti Malaya
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spelling my.um.eprints.263662022-02-24T01:37:42Z http://eprints.um.edu.my/26366/ Blockchain-enabled adaptive-learning-based resource-sharing framework for IIoT environment Iqbal, Sarah Noor, Rafidah Md Malik, Asad Waqar Rahman, Anis U. QA75 Electronic computers. Computer science 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. IEEE-Inst Electrical Electronics Engineers Inc 2021-10 Article PeerReviewed Iqbal, Sarah and Noor, Rafidah Md and Malik, Asad Waqar and Rahman, Anis U. (2021) Blockchain-enabled adaptive-learning-based resource-sharing framework for IIoT environment. IEEE Internet of Things Journal, 8 (19). pp. 14746-14755. ISSN 2327-4662, DOI https://doi.org/10.1109/JIOT.2021.3071562 <https://doi.org/10.1109/JIOT.2021.3071562>. 10.1109/JIOT.2021.3071562
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Iqbal, Sarah
Noor, Rafidah Md
Malik, Asad Waqar
Rahman, Anis U.
Blockchain-enabled adaptive-learning-based resource-sharing framework for IIoT environment
description 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.
format Article
author Iqbal, Sarah
Noor, Rafidah Md
Malik, Asad Waqar
Rahman, Anis U.
author_facet Iqbal, Sarah
Noor, Rafidah Md
Malik, Asad Waqar
Rahman, Anis U.
author_sort Iqbal, Sarah
title Blockchain-enabled adaptive-learning-based resource-sharing framework for IIoT environment
title_short Blockchain-enabled adaptive-learning-based resource-sharing framework for IIoT environment
title_full Blockchain-enabled adaptive-learning-based resource-sharing framework for IIoT environment
title_fullStr Blockchain-enabled adaptive-learning-based resource-sharing framework for IIoT environment
title_full_unstemmed Blockchain-enabled adaptive-learning-based resource-sharing framework for IIoT environment
title_sort blockchain-enabled adaptive-learning-based resource-sharing framework for iiot environment
publisher IEEE-Inst Electrical Electronics Engineers Inc
publishDate 2021
url http://eprints.um.edu.my/26366/
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