Algorithm design on energy efficiency maximization for UAV-assisted edge computing
For the unmanned aerial vehicle (UAV)-assisted edge computing system,a two-stage alternative algorithm was proposed to solve the formulated complex non-convex problem.Firstly,the formulated non-linear fractional programming problem was reformulated to the equivalent parametric problem by using Dinke...
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Editorial Department of Journal on Communications
2020-10-01
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Series: | Tongxin xuebao |
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Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020204/ |
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author | Qihui WU Wei WU |
author_facet | Qihui WU Wei WU |
author_sort | Qihui WU |
collection | DOAJ |
description | For the unmanned aerial vehicle (UAV)-assisted edge computing system,a two-stage alternative algorithm was proposed to solve the formulated complex non-convex problem.Firstly,the formulated non-linear fractional programming problem was reformulated to the equivalent parametric problem by using Dinkelbach method.Secondly,two sub-problems were further considered based on it.By employing the Lagrange duality method,the closed-form solutions for the central processing unit frequencies and the number of data bits were derived.Finally,based on the solutions obtained,the conditions that the source node prefers to offload/share its data and the relay chooses to forward the computation results,as well as the approaches to achieve high energy efficiency were revealed.Numerical results demonstrate that the proposed design can achieve a performance improvement of up to 20 times over the conventional schemes. |
format | Article |
id | doaj-art-dd11e474dc874021944aa765ce077f7c |
institution | Kabale University |
issn | 1000-436X |
language | zho |
publishDate | 2020-10-01 |
publisher | Editorial Department of Journal on Communications |
record_format | Article |
series | Tongxin xuebao |
spelling | doaj-art-dd11e474dc874021944aa765ce077f7c2025-01-14T07:20:01ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2020-10-0141152459737694Algorithm design on energy efficiency maximization for UAV-assisted edge computingQihui WUWei WUFor the unmanned aerial vehicle (UAV)-assisted edge computing system,a two-stage alternative algorithm was proposed to solve the formulated complex non-convex problem.Firstly,the formulated non-linear fractional programming problem was reformulated to the equivalent parametric problem by using Dinkelbach method.Secondly,two sub-problems were further considered based on it.By employing the Lagrange duality method,the closed-form solutions for the central processing unit frequencies and the number of data bits were derived.Finally,based on the solutions obtained,the conditions that the source node prefers to offload/share its data and the relay chooses to forward the computation results,as well as the approaches to achieve high energy efficiency were revealed.Numerical results demonstrate that the proposed design can achieve a performance improvement of up to 20 times over the conventional schemes.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020204/UAV communicationmobile edge computationrelayenergy efficiencyresource allocation |
spellingShingle | Qihui WU Wei WU Algorithm design on energy efficiency maximization for UAV-assisted edge computing Tongxin xuebao UAV communication mobile edge computation relay energy efficiency resource allocation |
title | Algorithm design on energy efficiency maximization for UAV-assisted edge computing |
title_full | Algorithm design on energy efficiency maximization for UAV-assisted edge computing |
title_fullStr | Algorithm design on energy efficiency maximization for UAV-assisted edge computing |
title_full_unstemmed | Algorithm design on energy efficiency maximization for UAV-assisted edge computing |
title_short | Algorithm design on energy efficiency maximization for UAV-assisted edge computing |
title_sort | algorithm design on energy efficiency maximization for uav assisted edge computing |
topic | UAV communication mobile edge computation relay energy efficiency resource allocation |
url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2020204/ |
work_keys_str_mv | AT qihuiwu algorithmdesignonenergyefficiencymaximizationforuavassistededgecomputing AT weiwu algorithmdesignonenergyefficiencymaximizationforuavassistededgecomputing |