Video semantics-driven resource allocation algorithm in Internet of vehicles
Aiming at the problem that traditional resource allocation methods will no longer be applicable, with the demand of intelligent computing services such as video semantic understanding in Internet of vehicles, the video semantic driven resource allocation algorithm was studied.First of all, taking th...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2021-07-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021080/ |
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| _version_ | 1841539307151556608 |
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| author | Jiujiu CHEN Chunyan FENG Caili GUO Yang YANG Qizheng SUN Meiyi ZHU |
| author_facet | Jiujiu CHEN Chunyan FENG Caili GUO Yang YANG Qizheng SUN Meiyi ZHU |
| author_sort | Jiujiu CHEN |
| collection | DOAJ |
| description | Aiming at the problem that traditional resource allocation methods will no longer be applicable, with the demand of intelligent computing services such as video semantic understanding in Internet of vehicles, the video semantic driven resource allocation algorithm was studied.First of all, taking the object detection task as an example, a semantic driven resource allocation guidance model for video was proposed and an algorithm for solving model parameters was given.Secondly, an optimization problem of resource allocation driven by video semantics in Internet of vehicles was constructed, which was transformed into a convex problem and solved by convex optimization algorithm.Furthermore, in order to reduce the complexity of the convex optimization algorithm, a resource allocation algorithm based on reinforcement Q learning was proposed.Finally, the performance advantages of the proposed algorithm are verified by simulations. |
| format | Article |
| id | doaj-art-be72abbfd05849e18dea941cefdd6006 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2021-07-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-be72abbfd05849e18dea941cefdd60062025-01-14T07:22:28ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2021-07-014211159743760Video semantics-driven resource allocation algorithm in Internet of vehiclesJiujiu CHENChunyan FENGCaili GUOYang YANGQizheng SUNMeiyi ZHUAiming at the problem that traditional resource allocation methods will no longer be applicable, with the demand of intelligent computing services such as video semantic understanding in Internet of vehicles, the video semantic driven resource allocation algorithm was studied.First of all, taking the object detection task as an example, a semantic driven resource allocation guidance model for video was proposed and an algorithm for solving model parameters was given.Secondly, an optimization problem of resource allocation driven by video semantics in Internet of vehicles was constructed, which was transformed into a convex problem and solved by convex optimization algorithm.Furthermore, in order to reduce the complexity of the convex optimization algorithm, a resource allocation algorithm based on reinforcement Q learning was proposed.Finally, the performance advantages of the proposed algorithm are verified by simulations.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021080/resources allocationInternet of vehiclesvideo semanticsobject detectionreinforcement learning |
| spellingShingle | Jiujiu CHEN Chunyan FENG Caili GUO Yang YANG Qizheng SUN Meiyi ZHU Video semantics-driven resource allocation algorithm in Internet of vehicles Tongxin xuebao resources allocation Internet of vehicles video semantics object detection reinforcement learning |
| title | Video semantics-driven resource allocation algorithm in Internet of vehicles |
| title_full | Video semantics-driven resource allocation algorithm in Internet of vehicles |
| title_fullStr | Video semantics-driven resource allocation algorithm in Internet of vehicles |
| title_full_unstemmed | Video semantics-driven resource allocation algorithm in Internet of vehicles |
| title_short | Video semantics-driven resource allocation algorithm in Internet of vehicles |
| title_sort | video semantics driven resource allocation algorithm in internet of vehicles |
| topic | resources allocation Internet of vehicles video semantics object detection reinforcement learning |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2021080/ |
| work_keys_str_mv | AT jiujiuchen videosemanticsdrivenresourceallocationalgorithmininternetofvehicles AT chunyanfeng videosemanticsdrivenresourceallocationalgorithmininternetofvehicles AT cailiguo videosemanticsdrivenresourceallocationalgorithmininternetofvehicles AT yangyang videosemanticsdrivenresourceallocationalgorithmininternetofvehicles AT qizhengsun videosemanticsdrivenresourceallocationalgorithmininternetofvehicles AT meiyizhu videosemanticsdrivenresourceallocationalgorithmininternetofvehicles |