- Title
- Adaptive capacity task offloading in multi-hop D2D-based social industrial IoT
- Creator
- Ibrar, Muhammad; Wang, Lei; Akbar, Aamir; Jan, Mian; Balasubramanian, Venki; Muntean, Gabriel-Miro; Shah, Nadir
- Date
- 2023
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/198014
- Identifier
- vital:18976
- Identifier
-
https://doi.org/10.1109/TNSE.2022.3192478
- Identifier
- ISSN:2327-4697 (ISSN)
- Abstract
- Traditional communication technologies such as cellular networks are facing problems to support high service quality when used for time-critical applications in an Industrial Internet-of-Things (IIoT) context, including real-time data transmission, route dependability, and scalability. To address these problems, device-to-device (D2D) communications based on social relationships can be used, which allow for task-offloading: resource-rich devices share unused computing resources with resource constraint devices. However, unbalanced task offloading in Social IIoT (SIIoT) might actually degrade the overall system performance, which is not desirable. In this paper, we propose an adaptive capacity task offloading solution for D2D-based social industrial IoT (ToSIIoT) which considers devices utilization ratio and strength of social relationships in order to improve resource utilization, increase QoS and achieve better task completion rate. The proposed approach consists of three aspects: social-aware relay selection in a multi-hop D2D communication context, choice of a resource-rich SIIoT device for task offloading, and adaptive redistribution of tasks. The paper proposes heuristic algorithms, as finding optimal solutions to the problems are NP-hard. Extensive experimental results show that the proposed ToSIIoT performs better than existing approaches in terms of utilization ratio, QoS violation, average execution delay, and task completion ratio. © 2013 IEEE.
- Publisher
- IEEE Computer Society
- Relation
- IEEE Transactions on Network Science and Engineering Vol. 10, no. 5 (2023), p. 2843-2852
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright @ 2022 IEEE
- Subject
- MD Multidisciplinary; Device-to-Device (D2D); Industrial IoT (IIoT); Resource sharing; Social relationship; Task-offloading
- Reviewed
- Funder
- The work of Gabriel-Miro Muntean was supported by Science Foundation Ireland (SFI) through the Insight SFI Centre for Data Analytics under Grant 12/RC/2289_P2. This work was supported in part by the National Natural Science Foundation of China under Grant 61902052, in part by the National Key Research and Development Plan under Grant 2017YFC0821003- 2, in part by the Science and Technology Major Industrial Project of Liaoning Province under Grant 2020JH1/10100013, in part by Dalian Science and Technology Innovation Fund under Grants 2019J11CY004 and 2020JJ26GX037, and in part by the Fundamental Research Funds for the Central Universities under Grants DUT20ZD210 and DUT20TD107
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