Edge intelligence-assisted routing protocol for Internet of vehicles via reinforcement learning
To achieve a highly reliable and adaptive packet routing protocol in a complex urban Internet of vehicles, an end-edge-cloud edge intelligence architecture was proposed which consisted of an end user layer, an edge collaboration layer, and a cloud computing layer.Based on the proposed edge intellige...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2023-11-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023187/ |
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| _version_ | 1841540031468011520 |
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| author | Bingyi LIU Yuhao LIU Weizhen HAN Zhenchang XIA Libing WU Shengwu XIONG |
| author_facet | Bingyi LIU Yuhao LIU Weizhen HAN Zhenchang XIA Libing WU Shengwu XIONG |
| author_sort | Bingyi LIU |
| collection | DOAJ |
| description | To achieve a highly reliable and adaptive packet routing protocol in a complex urban Internet of vehicles, an end-edge-cloud edge intelligence architecture was proposed which consisted of an end user layer, an edge collaboration layer, and a cloud computing layer.Based on the proposed edge intelligence architecture, an packet routing protocol based on multi-intelligent reinforcement learning technologies was designed.The experimental results show that the proposed protocol could significantly improve the transmission delay and the packet reception rate in the interval of 29.65%～44.06% and 17.08%～25.38% compared to the state-of-the-art transmission mechanism for emergency data (TMED), intersection fog-based distributed routing protocol (IDR), and double deep Q-net based routing protocol (DRP). |
| format | Article |
| id | doaj-art-35c76f88957949bc8b411965e35caadf |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2023-11-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-35c76f88957949bc8b411965e35caadf2025-01-14T06:28:14ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2023-11-014411011959389503Edge intelligence-assisted routing protocol for Internet of vehicles via reinforcement learningBingyi LIUYuhao LIUWeizhen HANZhenchang XIALibing WUShengwu XIONGTo achieve a highly reliable and adaptive packet routing protocol in a complex urban Internet of vehicles, an end-edge-cloud edge intelligence architecture was proposed which consisted of an end user layer, an edge collaboration layer, and a cloud computing layer.Based on the proposed edge intelligence architecture, an packet routing protocol based on multi-intelligent reinforcement learning technologies was designed.The experimental results show that the proposed protocol could significantly improve the transmission delay and the packet reception rate in the interval of 29.65%～44.06% and 17.08%～25.38% compared to the state-of-the-art transmission mechanism for emergency data (TMED), intersection fog-based distributed routing protocol (IDR), and double deep Q-net based routing protocol (DRP).http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023187/edge intelligenceInternet of vehiclesmulti-agent reinforcement learningpacket routing |
| spellingShingle | Bingyi LIU Yuhao LIU Weizhen HAN Zhenchang XIA Libing WU Shengwu XIONG Edge intelligence-assisted routing protocol for Internet of vehicles via reinforcement learning Tongxin xuebao edge intelligence Internet of vehicles multi-agent reinforcement learning packet routing |
| title | Edge intelligence-assisted routing protocol for Internet of vehicles via reinforcement learning |
| title_full | Edge intelligence-assisted routing protocol for Internet of vehicles via reinforcement learning |
| title_fullStr | Edge intelligence-assisted routing protocol for Internet of vehicles via reinforcement learning |
| title_full_unstemmed | Edge intelligence-assisted routing protocol for Internet of vehicles via reinforcement learning |
| title_short | Edge intelligence-assisted routing protocol for Internet of vehicles via reinforcement learning |
| title_sort | edge intelligence assisted routing protocol for internet of vehicles via reinforcement learning |
| topic | edge intelligence Internet of vehicles multi-agent reinforcement learning packet routing |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023187/ |
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