Energy-Efficient Task Offloading Based on Differential Evolution in Edge Computing System With Energy Harvesting Article Swipe
YOU?
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· 2021
· Open Access
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· DOI: https://doi.org/10.1109/access.2021.3052901
To optimize the energy efficiency of edge computing system with energy harvesting, this paper proposes an energy-efficient task offloading method optimized by differential evolution. First, a wireless edge computing network model is established to analyze the energy harvesting, task offloading and task calculation of the system, as well as the total number of calculated bits and total energy consumption of the system. Second, according to the total number of calculated bits and total energy consumption of the system, an objective function is established to optimize the energy efficiency of system, and a differential evolution based optimization method is proposed, with which the optimal energy efficiency of system calculation, offloading time, calculation time and frequency are obtained. Experimental results show that the proposed method can not only achieve better convergence effect, but also can effectively solve the energy shortage problem of the micro-equipment and extend the service life of the equipment.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2021.3052901
- OA Status
- gold
- Cited By
- 46
- References
- 19
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3126870142
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3126870142Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/access.2021.3052901Digital Object Identifier
- Title
-
Energy-Efficient Task Offloading Based on Differential Evolution in Edge Computing System With Energy HarvestingWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-01-01Full publication date if available
- Authors
-
Yingying Sun, Chunhe Song, Shimao Yu, Yiyang Liu, Hao Pan, Peng ZengList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2021.3052901Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1109/access.2021.3052901Direct OA link when available
- Concepts
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Computer science, Energy consumption, Efficient energy use, Energy harvesting, Energy (signal processing), Mobile edge computing, Enhanced Data Rates for GSM Evolution, Task (project management), Differential evolution, Wireless, Mathematical optimization, Convergence (economics), Real-time computing, Algorithm, Electrical engineering, Telecommunications, Mathematics, Engineering, Economic growth, Economics, Systems engineering, StatisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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46Total citation count in OpenAlex
- Citations by year (recent)
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2025: 5, 2024: 14, 2023: 9, 2022: 14, 2021: 4Per-year citation counts (last 5 years)
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19Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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