TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Optimizing Energy-Latency Tradeoff for Computation Offloading in SDIN-Enabled MEC-based IIoT |
| 영문제목(English Title) |
Optimizing Energy-Latency Tradeoff for Computation Offloading in SDIN-Enabled MEC-based IIoT |
| 저자(Author) |
Xinchang Zhang
Changsen Xia
Tinghuai Ma
Lejun Zhang
Zilong Jin
|
| 원문수록처(Citation) |
VOL 16 NO. 12 PP. 4081 ~ 4098 (2022. 12) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
With the aim of tackling the contradiction between computation intensive industrial applications and resource-weak Edge Devices (EDs) in Industrial Internet of Things (IIoT), a novel computation task offloading scheme in SDIN-enabled MEC based IIoT is proposed in this paper. With the aim of reducing the task accomplished latency and energy consumption of EDs, a joint optimization method is proposed for optimizing the local CPU-cycle frequency, offloading decision, and wireless and computation resources allocation jointly. Based on the optimization, the task offloading problem is formulated into a Mixed Integer Nonlinear Programming (MINLP) problem which is a large-scale NP-hard problem. In order to solve this problem in an accessible time complexity, a sub-optimal algorithm GPCOA, which is based on hybrid evolutionary computation, is proposed. Outcomes of emulation revel that the proposed method outperforms other baseline methods, and the optimization result shows that the latency-related weight is efficient for reducing the task execution delay and improving the energy efficiency. |
| 키워드(Keyword) |
SDIN
Edge computing
Computation offloading
Evolution Computation
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| 파일첨부 |
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