基于预测的V-NDN多决策兴趣包转发方法  

V-NDN multi-decision interest packet forwarding strategy based on prediction

作　　者：邢光林[1] 朱远 XING Guanglin;ZHU Yuan(College of Computer Science,South-Central Minzu University,Wuhan 430074,China)

机构地区：[1]中南民族大学计算机科学学院,武汉430074

出　　处：《中南民族大学学报(自然科学版)》2025年第3期365-372,共8页Journal of South-Central Minzu University(Natural Science Edition)

基　　金：中南民族大学研究生学术创新基金资助项目(3212022sycxjj336)。

摘　　要：车载命名数据网络(V-NDN)是基于车载自组织网络(VANET)建立通信的一种新型网络框架.洪泛转发策略在当前V-NDN中被广泛使用,造成大量的网络资源被浪费.针对上述问题,提出基于预测的多决策兴趣包转发方法(KMNDN),该方法实现了通过内容发现来定位内容节点,根据车辆运动状态构造转发路径,以减少网络中的无用流量.为保证链路稳定性,在链路构造过程中结合卡尔曼滤波预测、速度以及备选节点车流密度,再通过设定权重对待选车辆进行排序,从而选择出风险最小的节点作为下一跳.实验结果显示:所提方法在提高数据包交付率,以及降低网络时延方面具有一定优势.Vehicular Named Data Networking(V-NDN)is a new network framework based on Vehicular Ad-hoc Network(VANET).Flood forwarding policy is widely used in current V-NDN,leading to a large amount of network resources wasted.Aiming at the above problems,a multi-decision interest packet forwarding method based on prediction(KMNDN)is proposed,the method realizes to locate content nodes through the content discovery,and construct forwarding paths according to vehicle movement status to reduce useless traffic in the network.In order to ensure link stability,the method combines Kalman filter prediction,speed and neighbor density of alternative nodes in the link construction process,and then prioritize the vehicles that are waiting to be selected through weights,so as to select the node with the lowest risk as the next hop.The experimental results illustrate that the proposed method has certain advantages in improving packet delivery rate and reducing network delay.

关 键 词：车辆命名数据网络 兴趣包转发 卡尔曼滤波 CRITIC权重法 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]