| 摘 要: 在智能车联网环境下，节点具有高度的动态特性，现有的互联网体系架构难以较好的适应这类场景。基于 命名数据网络(NDN,Named Data Networking)这种以内容为中心的新型网络体系结构，提出一种基于多层P:L对结构 的内容命名方法，实现匹配粒度可选特性；设计一种分档增量计数式布鲁姆过滤器结构，实现高效的名字匹配与查询。 该方法可为智能车联网环境下的高效通信问题研究提供参考与借鉴。 |
| 关键词: 车联网；命名数据网络；布鲁姆过滤器 |
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中图分类号: TP393
文献标识码: A
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| 基金项目: 广西大学生创新训练项目资助，编号：201610605017. |
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| A Content Naming and Routing Method for VNETs |
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YANG Feng,LIU Jinmei,HUANG Shanshan
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( School of Physics and Mechanical & Electrical Engineering, Hechi University, Yizhou 546300, China)
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| Abstract: In VNETs,all nodes are highly dynamic,which makes the existing Internet architecture cannot work well. Based on the content-oriented network architecture of Named Data Networking(NDN),the paper proposes a multi-layered P:L-based content naming method,as well as an incremental count Bloom filter structure,so as to achieve efficient name matching and query.This method provides reference for the studies of efficient communication in the intelligent vehicle network environment. |
| Keywords: VNETs;NDN;Bloom filter |
