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作 者:余庚 朱剑宝[1] 谢道彪 YU Geng;ZHU Jian-bao;XIE Dao-biao(Fujian Chuanzheng Communications College,Fuzhou 350007,China)
出 处:《长春师范大学学报》2023年第10期35-40,共6页Journal of Changchun Normal University
基 金:福建省中青年教师教育科研项目“效能约束下的软件定义异构虚拟云车网智能应用定制技术的研究”(JAT210705);教育部科技发展中心中国高校产学研创新基金新一代信息技术创新项目“DCN中绿色虚拟异构云技术的多维研究”(2019ITA01022);福建省中青年教师教育科研项目“智能汽车网联腾云驾雾新技术的研究”(JAT201066)。
摘 要:针对车联网在应对大规模车端高速接入时无法提供平滑的移动性支持的问题,设计一种定制级自适应移动路径智能评估方案。基于软件定义网络SDN架构特征和异构车联网实际部署环境特征,通过建立自适应移动评估模型重构拓扑树并引入信任淘汰机制,对拓扑树与过往行车轨迹开展适配以确定有效参考价值的轨迹序列,进而计算出后续行车路径。在所评估路径途经的数据层节点中提前定制移动服务流表项,以降低车联网节点间及节点与车端间的交互时延,从而实现为大规模高速移动车端提供智能化移动服务支持。测试结果表明,该算法在越复杂的道路交通环境中越能展示出服务质量QoS级定制成效。Aiming at the inability of the Internet of Vehicles to provide smooth mobility support when dealing with large-scale high-speed vehicle-end access,a customized adaptive mobile path intelligent evaluation scheme is designed.Based on the architecture characteristics of Software Definition Network(SDN)and the actual deployment environment characteristics of the heterogeneous Internet of Vehicles,the scheme reconstructs the topology tree through the establishment of an adaptive mobility evaluation model and introduces the trust elimination mechanism,and matches the topology tree with the past driving track to determine the track sequence of effective reference value,and then calculates the subsequent driving path.Finally,the mobile service flow table items are customized in advance in the data layer nodes along the assessed path to reduce the interaction delay between nodes of the Internet of Vehicles and between nodes and vehicle terminals,so as to provide intelligent mobile service support for large-scale high-speed mobile vehicle terminals.The test shows that the algorithm can demonstrate the quality of service(QoS)level customization effect in the more complex road traffic environment.
分 类 号:TP393.01[自动化与计算机技术—计算机应用技术]
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