Incentive UAV-Enabled Mobile Edge Computing Based on Microwave Power Transmission
With the increasing requirements of the flexible and delay-sensitive computing services, UAV has attracted widespread attention for assisting mobile edge computing (MEC) system. However, due to the limited battery capacity, the UAV cannot always fly and serve the users in the air. To address this is...
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doaj-d50bfaeb814f41f4a5e846507837a4ca2021-03-30T02:10:14ZengIEEEIEEE Access2169-35362020-01-018285842859310.1109/ACCESS.2020.29719628985256Incentive UAV-Enabled Mobile Edge Computing Based on Microwave Power TransmissionYi Liu0https://orcid.org/0000-0001-5520-5044Ming Qiu1https://orcid.org/0000-0003-0449-3810Jinlei Hu2https://orcid.org/0000-0002-0977-5297Huimin Yu3https://orcid.org/0000-0003-1495-3171School of Automation, Guangdong University of Technology, Guangzhou, ChinaSchool of Automation, Guangdong University of Technology, Guangzhou, ChinaQingyuan Power Supply Bureau, Guangdong Power Grid Corporation, Qingyuan, ChinaCollege of Information Science and Engineering, Hunan Normal University, Changsha, ChinaWith the increasing requirements of the flexible and delay-sensitive computing services, UAV has attracted widespread attention for assisting mobile edge computing (MEC) system. However, due to the limited battery capacity, the UAV cannot always fly and serve the users in the air. To address this issue, a UAV-enabled MEC system based on microwave power transmission is proposed in this paper. In this system, the UAV periodically and continually flies over the users' area to provide computing services and will be charged over the microwave station. Considering profit-centric MEC service provider, the UAV will charge fees from users for the computation services. Then, an optimization problem is formulated to maximize the service utility of the UAV by finding the optimal UAV's trajectory, computation offloading decisions and offloading duration. Since the proposed optimization problem is non-convex, the original problem is decomposed into three sub-problems and a three-stage alternative algorithm is presented to solve them iteratively. The numerical results show that the proposed offloading method can achieve better performance than other baseline methods.https://ieeexplore.ieee.org/document/8985256/UAV-enabled mobile edge computingcomputation offloadingmicrowave power transmission |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yi Liu Ming Qiu Jinlei Hu Huimin Yu |
spellingShingle |
Yi Liu Ming Qiu Jinlei Hu Huimin Yu Incentive UAV-Enabled Mobile Edge Computing Based on Microwave Power Transmission IEEE Access UAV-enabled mobile edge computing computation offloading microwave power transmission |
author_facet |
Yi Liu Ming Qiu Jinlei Hu Huimin Yu |
author_sort |
Yi Liu |
title |
Incentive UAV-Enabled Mobile Edge Computing Based on Microwave Power Transmission |
title_short |
Incentive UAV-Enabled Mobile Edge Computing Based on Microwave Power Transmission |
title_full |
Incentive UAV-Enabled Mobile Edge Computing Based on Microwave Power Transmission |
title_fullStr |
Incentive UAV-Enabled Mobile Edge Computing Based on Microwave Power Transmission |
title_full_unstemmed |
Incentive UAV-Enabled Mobile Edge Computing Based on Microwave Power Transmission |
title_sort |
incentive uav-enabled mobile edge computing based on microwave power transmission |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
With the increasing requirements of the flexible and delay-sensitive computing services, UAV has attracted widespread attention for assisting mobile edge computing (MEC) system. However, due to the limited battery capacity, the UAV cannot always fly and serve the users in the air. To address this issue, a UAV-enabled MEC system based on microwave power transmission is proposed in this paper. In this system, the UAV periodically and continually flies over the users' area to provide computing services and will be charged over the microwave station. Considering profit-centric MEC service provider, the UAV will charge fees from users for the computation services. Then, an optimization problem is formulated to maximize the service utility of the UAV by finding the optimal UAV's trajectory, computation offloading decisions and offloading duration. Since the proposed optimization problem is non-convex, the original problem is decomposed into three sub-problems and a three-stage alternative algorithm is presented to solve them iteratively. The numerical results show that the proposed offloading method can achieve better performance than other baseline methods. |
topic |
UAV-enabled mobile edge computing computation offloading microwave power transmission |
url |
https://ieeexplore.ieee.org/document/8985256/ |
work_keys_str_mv |
AT yiliu incentiveuavenabledmobileedgecomputingbasedonmicrowavepowertransmission AT mingqiu incentiveuavenabledmobileedgecomputingbasedonmicrowavepowertransmission AT jinleihu incentiveuavenabledmobileedgecomputingbasedonmicrowavepowertransmission AT huiminyu incentiveuavenabledmobileedgecomputingbasedonmicrowavepowertransmission |
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1724185677982072832 |