Research on energy transmission strategy based on MEC in green communication

doi:10.1007/s11042-022-12997-8

IR > 研究生院

	Research on energy transmission strategy based on MEC in green communication
	Xue, Jianbin; Wu, Shang; Wang, Zesen; Wang, Hainiu; Hu, Qingchun
	2022-09
发表期刊	Multimedia Tools and Applications
ISSN	1380-7501
卷号	81 期号:21 页码:29731-29751
摘要	Mobile edge computing (MEC) can provide rich computing services near mobile terminals, making it possible for computing intensive tasks to be performed at the edge, however, when renewable energy is the main power supply method for MEC servers, due to the unpredictability of renewable energy, the server will generate additional processing delays due to low energy. In this paper, in order to solve this problem, we incorporate renewable energy into the mobile edge computing, and use wireless power transmission technology to realize energy transmission between MEC servers. By optimizing offloading and wireless resource allocation, the total delay of the system is minimized. The main difficulty of this paper is the combination of unloading decision and its strong coupling with wireless resource allocation. In order to solve this problem, we use Lagrange multiplier method to get the optimal allocation of computing resources, and proposes an effective offloading exclusion algorithm (OEA) to determine the optimal offloading decision. Finally, the experimental results show that compared with other comparison schemes, the proposed scheme can effectively improve the performance of MEC and reduce the time consumption of the system. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
关键词	Inductive power transmission Lagrange multipliers Mobile edge computing Resource allocation Unloading Computing services Energy transmission Green communications Lower energies Power supply Processing delay Renewable energies Transmission strategies Wireless power transmission Wireless resource allocation
DOI	10.1007/s11042-022-12997-8
收录类别	EI ; SCIE
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:000779045500006
出版者	Springer
EI入藏号	20221511942171
EI主题词	Energy harvesting
EI分类号	525.5 Energy Conversion Issues ; 691.2 Materials Handling Methods ; 706.1.1 Electric Power Transmission ; 722.4 Digital Computers and Systems ; 912.2 Management
来源库	WOS
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/159092
专题	研究生院
通讯作者	Wu, Shang
作者单位	Lanzhou Univ Technol, Coll Comp & Commun, Lanzhou 730050, Peoples R China
第一作者单位	计算机与通信学院
通讯作者单位	计算机与通信学院
第一作者的第一单位	计算机与通信学院
推荐引用方式 GB/T 7714	Xue, Jianbin,Wu, Shang,Wang, Zesen,et al. Research on energy transmission strategy based on MEC in green communication[J]. Multimedia Tools and Applications,2022,81(21):29731-29751.
APA	Xue, Jianbin,Wu, Shang,Wang, Zesen,Wang, Hainiu,&Hu, Qingchun.(2022).Research on energy transmission strategy based on MEC in green communication.Multimedia Tools and Applications,81(21),29731-29751.
MLA	Xue, Jianbin,et al."Research on energy transmission strategy based on MEC in green communication".Multimedia Tools and Applications 81.21(2022):29731-29751.