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Energy-efficient task offloading based on differential evolution in edge computing system with energy harvesting
Sun, Yingying1,5; Song CH(宋纯贺)2,3,4,5; Yu SM(于诗矛)2,3,4,5; Liu YY(刘意杨)2,3,4,5; Pan, Hao1; Zeng P(曾鹏)2,3,4,5
Department工业控制网络与系统研究室
Source PublicationIEEE Access
ISSN21693536
2021
Volume9Pages:16383-16391
Indexed BySCI ; EI
EI Accession number20210409830150
WOS IDWOS:000613535300001
Contribution Rank1
Funding OrganizationNational Key Research and Development Program of China under Grant 2018YFB1700103 ; Key Research and Development Program of Jiangsu Province under Grant BE2020001-1 ; National Natural Science Foundation of China under Grant U1908212 and Grant 61773368 ; Industrial Internet Innovation Development Project (Edge Computing Test Bed) ; Revitalizing Liaoning Outstanding Talents under Project XLYC1907057 ; State Grid Corporation Science and Technology Project under Grant SG2NK00DWJS1800123
KeywordEdge computing task offloading energy harvesting differential evolutionary algorithm
Abstract

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.

Language英语
WOS SubjectComputer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS Research AreaComputer Science ; Engineering ; Telecommunications
Funding ProjectNational Key Research and Development Program of China[2018YFB1700103] ; Key Research and Development Program of Jiangsu Province[BE2020001-1] ; National Natural Science Foundation of China[U1908212] ; National Natural Science Foundation of China[61773368] ; Industrial Internet Innovation Development Project (Edge Computing Test Bed), Revitalizing Liaoning Outstanding Talents[XLYC1907057] ; State Grid Corporation Science and Technology Project[SG2NK00DWJS1800123]
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Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/28304
Collection工业控制网络与系统研究室
Corresponding AuthorSong CH(宋纯贺); Liu YY(刘意杨)
Affiliation1.College of Information Engineering, Shenyang University of Chemical Technology, Shenyang 110142, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
3.Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang 110016, China
4.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China
5.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
Recommended Citation
GB/T 7714
Sun, Yingying,Song CH,Yu SM,et al. Energy-efficient task offloading based on differential evolution in edge computing system with energy harvesting[J]. IEEE Access,2021,9:16383-16391.
APA Sun, Yingying,Song CH,Yu SM,Liu YY,Pan, Hao,&Zeng P.(2021).Energy-efficient task offloading based on differential evolution in edge computing system with energy harvesting.IEEE Access,9,16383-16391.
MLA Sun, Yingying,et al."Energy-efficient task offloading based on differential evolution in edge computing system with energy harvesting".IEEE Access 9(2021):16383-16391.
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