中南民族大学学报（自然科学版）2025，Vol.44Issue(3)：365-372,8.DOI:10.20056/j.cnki.ZNMDZK.20250310
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
摘要
Abstract
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Key words
Vehicle Named Data Network/interest packet forwarding/Kalman filter/CRITIC分类
计算机与自动化引用本文复制引用
邢光林,朱远..基于预测的V-NDN多决策兴趣包转发方法[J].中南民族大学学报（自然科学版）,2025,44(3):365-372,8.基金项目
中南民族大学研究生学术创新基金资助项目(3212022sycxjj336) （3212022sycxjj336）
