边缘智能下基于强化学习的车联网路由协议
Edge intelligence-assisted routing protocol for Internet of vehicles via reinforcement learning
摘要
Abstract
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).关键词
边缘智能/车联网/多智能体强化学习/数据包路由Key words
edge intelligence/Internet of vehicles/multi-agent reinforcement learning/packet routing分类
交通工程引用本文复制引用
刘冰艺,刘煜昊,韩玮祯,夏振厂,吴黎兵,熊盛武..边缘智能下基于强化学习的车联网路由协议[J].通信学报,2023,44(11):110-119,10.基金项目
国家自然科学基金资助项目(No.62272357,No.62176194,No.62202348,No.U20A20177,No.62272348) （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) （No.2022BAA052）
海南省重点研发计划基金资助项目(No.ZDYF2021GXJS014) （No.ZDYF2021GXJS014）
重庆市科学基金资助项目(No.cstc2021jcyj-msxm4264) （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) （No.ZD2021-04,No.ZL2021-05）
