Survey of Resource Management Optimization of UAV Edge Computing
To meet the needs of intensive computing and low latency,mobile edge computing pushes the service resources of cloud computing to the edge,where is closer to the terminal.The ground network faces challenges in scenarios such as complex terrain and equipment failure.With the assistance of unmanned ae...
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| Format: | Article |
| Language: | zho |
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Editorial office of Computer Science
2022-11-01
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| Series: | Jisuanji kexue |
| Subjects: | |
| Online Access: | https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-11-234.pdf |
| _version_ | 1797845118276861952 |
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| author | YUAN Xin-wang, XIE Zhi-dong, TAN Xin |
| author_facet | YUAN Xin-wang, XIE Zhi-dong, TAN Xin |
| author_sort | YUAN Xin-wang, XIE Zhi-dong, TAN Xin |
| collection | DOAJ |
| description | To meet the needs of intensive computing and low latency,mobile edge computing pushes the service resources of cloud computing to the edge,where is closer to the terminal.The ground network faces challenges in scenarios such as complex terrain and equipment failure.With the assistance of unmanned aerial vehicles,the flexibility and robustness of network deployment can be improved.Unmanned aerial vehicle has the advantages of low cost,convenient operation and flexible mobility.Due to the limitations of volume and weight,the power,communication and computing resources are often limited,the heterogeneity and dynamic characteristics gradually emerge in multi-unmanned aerial vehicle collaboration.Therefore,how to make efficient use of the resources become a research hotspot.From the perspective of overview,the problems and challenges faced in the promotion and application of UAV edge computing networks are combed,the current research status in power control,channel allocation,computing service resource management,and resource joint optimization are analyzed and summarized,the feasible optimization solutions of resource management are summarized and compared.Finally,the future development trend of resource management optimization is analyzed and prospected. |
| first_indexed | 2024-04-09T17:33:25Z |
| format | Article |
| id | doaj.art-392e8144811f4d4db6cfb70f47cc1d24 |
| institution | Directory Open Access Journal |
| issn | 1002-137X |
| language | zho |
| last_indexed | 2024-04-09T17:33:25Z |
| publishDate | 2022-11-01 |
| publisher | Editorial office of Computer Science |
| record_format | Article |
| series | Jisuanji kexue |
| spelling | doaj.art-392e8144811f4d4db6cfb70f47cc1d242023-04-18T02:32:50ZzhoEditorial office of Computer ScienceJisuanji kexue1002-137X2022-11-01491123424110.11896/jsjkx.211100015Survey of Resource Management Optimization of UAV Edge ComputingYUAN Xin-wang, XIE Zhi-dong, TAN Xin0National Innovation Institute of Defense Technology,Academic of Military Science,Beijing 100071,ChinaTo meet the needs of intensive computing and low latency,mobile edge computing pushes the service resources of cloud computing to the edge,where is closer to the terminal.The ground network faces challenges in scenarios such as complex terrain and equipment failure.With the assistance of unmanned aerial vehicles,the flexibility and robustness of network deployment can be improved.Unmanned aerial vehicle has the advantages of low cost,convenient operation and flexible mobility.Due to the limitations of volume and weight,the power,communication and computing resources are often limited,the heterogeneity and dynamic characteristics gradually emerge in multi-unmanned aerial vehicle collaboration.Therefore,how to make efficient use of the resources become a research hotspot.From the perspective of overview,the problems and challenges faced in the promotion and application of UAV edge computing networks are combed,the current research status in power control,channel allocation,computing service resource management,and resource joint optimization are analyzed and summarized,the feasible optimization solutions of resource management are summarized and compared.Finally,the future development trend of resource management optimization is analyzed and prospected.https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-11-234.pdfunmanned aerial vehicle|mobile edge computing|power control|channel allocation|computation offload|resource allocation|optimization |
| spellingShingle | YUAN Xin-wang, XIE Zhi-dong, TAN Xin Survey of Resource Management Optimization of UAV Edge Computing Jisuanji kexue unmanned aerial vehicle|mobile edge computing|power control|channel allocation|computation offload|resource allocation|optimization |
| title | Survey of Resource Management Optimization of UAV Edge Computing |
| title_full | Survey of Resource Management Optimization of UAV Edge Computing |
| title_fullStr | Survey of Resource Management Optimization of UAV Edge Computing |
| title_full_unstemmed | Survey of Resource Management Optimization of UAV Edge Computing |
| title_short | Survey of Resource Management Optimization of UAV Edge Computing |
| title_sort | survey of resource management optimization of uav edge computing |
| topic | unmanned aerial vehicle|mobile edge computing|power control|channel allocation|computation offload|resource allocation|optimization |
| url | https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-11-234.pdf |
| work_keys_str_mv | AT yuanxinwangxiezhidongtanxin surveyofresourcemanagementoptimizationofuavedgecomputing |