Energy Consumption Optimization in UAV Wireless Power Transfer Based Mobile Edge Computing System

LU Weidang; ZHAN Yuezhe; HUA Qiaozhi; GAO Yuan; CAO Jiang; HAN Huimei; HUANG Guoxing

doi:10.11999/JEIT211314

Volume 44 Issue 3

Mar. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(3): 899-905

LU Weidang, ZHAN Yuezhe, HUA Qiaozhi, GAO Yuan, CAO Jiang, HAN Huimei, HUANG Guoxing. Energy Consumption Optimization in UAV Wireless Power Transfer Based Mobile Edge Computing System[J]. Journal of Electronics & Information Technology, 2022, 44(3): 899-905. doi: 10.11999/JEIT211314

Citation:

LU Weidang, ZHAN Yuezhe, HUA Qiaozhi, GAO Yuan, CAO Jiang, HAN Huimei, HUANG Guoxing. Energy Consumption Optimization in UAV Wireless Power Transfer Based Mobile Edge Computing System[J]. Journal of Electronics & Information Technology, 2022, 44(3): 899-905. doi: 10.11999/JEIT211314

Citation:

LU Weidang, ZHAN Yuezhe, HUA Qiaozhi, GAO Yuan, CAO Jiang, HAN Huimei, HUANG Guoxing. Energy Consumption Optimization in UAV Wireless Power Transfer Based Mobile Edge Computing System[J]. Journal of Electronics & Information Technology, 2022, 44(3): 899-905. doi: 10.11999/JEIT211314

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Energy Consumption Optimization in UAV Wireless Power Transfer Based Mobile Edge Computing System

doi: 10.11999/JEIT211314

1.
School of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China
2.
Computer School Hubei University of Arts and Sciences, Xiangyang 441053, China
3.
Academy of Military Science of the PLA, Beijing 100097, China

Funds: The National Natural Science Foundation of China (61871348), The Hubei Natural Science Foundation (2021CFB156), The Research Fund Program of Guangdong Key Laboratory of Aerospace Communication and Networking Technology (2018B030322004)

Received Date: 2021-11-23
Accepted Date: 2022-02-16
Rev Recd Date: 2022-02-15

Available Online: 2022-03-01

Publish Date: 2022-03-28

Abstract

Abstract

Mobile Edge Computing (MEC) and Wireless Power Transfer (WPT) can provide energy and task calculation for wireless device, improving effectively the energy efficiency. In this paper, an energy consumption optimization method in UAV wireless power transfer based mobile edge computing system is proposed. In the proposed method, the total energy consumption of the system is minimized through joint optimization of Energy Harvesting (EH) time, user transmit power and offloading strategy. By utilizing Block Coordinate Descent (BCD) method, the optimization problem is divided into two subproblems. The optimal EH time, user transmit power and offloading strategy are obtained through alternate iteration. Simulation results show that the proposed energy consumption optimization method outperforms other benchmark schemes, in which the energy consumption of the system can be significantly reduced.
- UAV communication,
- Mobile Edge Computing (MEC),
- Wireless Power Transfer (WPT),
- energy consumption optimization

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References(21)

References

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