Dynamic offloading strategy for computational energy efficiency of wireless power transfer based MEC networks in industry 5.0open access
- Authors
- Aljubayrin, Saad; Aldehim, Ghadah; Alruwais, Nuha; Mahmood, Khalid; Al Duhayyim, Mesfer; Min, Hong; Nkenyereye, Lewis; Khan, Wali Ullah
- Issue Date
- Dec-2023
- Publisher
- ELSEVIER
- Keywords
- Industry 5.0; Joint optimization; Computational energy efficiency; Partial offloading; Smart devices; Edge computing
- Citation
- JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, v.35, no.10
- Journal Title
- JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
- Volume
- 35
- Number
- 10
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/89867
- DOI
- 10.1016/j.jksuci.2023.101841
- ISSN
- 1319-1578
2213-1248
- Abstract
- Wireless power transfer (WPT) has emerged as a promising solution for delivering services to low-power Internet of Things (IoT) devices in a demand-driven manner. In this work, we consider the Wireless power enabled Hybrid Mobile Edge Cloud (WPHMEC) network, which utilizes a dynamic offloading strategy (partial and binary) to maximize computational efficiency while minimizing device energy consumption. To address this challenge, we formulate a convex optimization problem to maximize the number of computational bits and minimize the energy consumption of the IIoT devices in the WPT-based MEC system for Industry 5.0 applications. To achieve this goal, we employ a reformulation approach based on block coordinate descent (BCD) to formulate an optimization problem that addresses the nonconvexity of the problem and propose a solution approach using the Karush-Kuhn-Tucker (KKT) conditions. To validate the effectiveness of the proposed scheme, extensive simulations are carried out using the Matlab software to evaluate the system's performance and components. The results demonstrate that optimal resource allocation maximizes energy efficiency and enhances computational resource utilization, making WPHMEEC an ideal choice for addressing the evolving demands of Industry 5.0 applications.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - ETC > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/89867)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.