边缘智能下基于强化学习的车联网路由协议OACSCD
Edge intelligence-assisted routing protocol for Internet of vehicles via reinforcement learning
为实现复杂城市车联网环境下高可靠、自适应的数据包路由协议,提出一个端-边-云边缘智能架构,该架构包括终端用户层、边缘协作层和云计算层.在所提边缘智能架构的基础上,设计了一个基于多智能体强化学习的数据包路由协议.实验结果表明,相比于现有的紧急消息传输机制、基于交叉路口雾节点的分布式路由协议和基于双深度Q网络的路由协议,所提协议在消息传输时延和接收率方面分别取得29.65%～44.06%和17.08%～25.38%的优化.
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 pro-posed 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).
刘冰艺;刘煜昊;韩玮祯;夏振厂;吴黎兵;熊盛武
武汉理工大学计算机科学与人工智能学院,湖北 武汉 430070||武汉理工大学三亚科教创新园,海南 三亚 572000武汉理工大学计算机科学与人工智能学院,湖北 武汉 430070武汉理工大学计算机科学与人工智能学院,湖北 武汉 430070||武汉理工大学重庆研究院,重庆 401135武汉理工大学计算机科学与人工智能学院,湖北 武汉 430070武汉大学国家网络安全学院,湖北 武汉 430070武汉理工大学计算机科学与人工智能学院,湖北 武汉 430070
交通运输
边缘智能车联网多智能体强化学习数据包路由
edge intelligenceInternet of vehiclesmulti-agent reinforcement learningpacket routing
《通信学报》 2023 (11)
110-119,10
国家自然科学基金资助项目(No.62272357,No.62176194,No.62202348,No.U20A20177,No.62272348)湖北省重点研发计划基金资助项目(No.2022BAA052)海南省重点研发计划基金资助项目(No.ZDYF2021GXJS014)重庆市科学基金资助项目(No.cstc2021jcyj-msxm4264)武汉理工大学重庆研究院研究基金资助项目(No.ZD2021-04,No.ZL2021-05)The National Natural Science Foundation of China(No.62272357,No.62176194,No.62202348,No.U20A20177,No.62272348),The Key Research and Development Program of Hubei Province(No.2022BAA052),The Key Re-search and Development Program of Hainan Province(No.ZDYF2021GXJS014),The Science Foundation of Chongqing(No.cstc2021jcyj-msxm4264),The Research Project of Chongqing Research Institute of Wuhan University of Technology(No.ZD2021-04,No.ZL2021-05)
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