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.
Full text not available from this repository.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.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Task analysis; Industrial Internet of Things; Computational modeling; Resource management; Blockchain; Servers; Delays; Adaptive learning; blockchain; device trust management; industrial IoT; task offloading |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Computer Science & Information Technology > Department of Computer System & Technology |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 24 Feb 2022 01:37 |
| Last Modified: | 24 Feb 2022 01:37 |
| URI: | http://eprints.um.edu.my/id/eprint/26366 |
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