{"title":"基于属性的车辆命名数据网络驾驶辅助","authors":"Xiaonan Wang;Gaoyang Wu","doi":"10.1109/TNSE.2025.3550154","DOIUrl":null,"url":null,"abstract":"The Named Data Networking (NDN) provides an efficient data delivery paradigm, so it is introduced to vehicular environments, called the Vehicular Named Data Networking (VNDN), to enhance efficiency of vehicular data dissemination. NDN only provides the pull-based data delivery mode, but vehicular data is required to be transmitted in both push and pull modes. Moreover, the caching-everything-everywhere strategy employed by NDN is inefficient in vehicular scenarios because vehicles have limited storage resources. Taking these issues into account, we propose an attributes based vehicular named data networking framework, and aim to reduce data dissemination latency and overheads. The main idea behind the framework is to exploit vehicle attributes and relationships between routes and vehicular data to enhance stability of persistent paths and efficiency of in-network caching, ultimately achieving rapid data dissemination. The experiment results demonstrate the superiority of the framework in terms of data dissemination latency, overheads and success rates.","PeriodicalId":54229,"journal":{"name":"IEEE Transactions on Network Science and Engineering","volume":"12 4","pages":"2582-2592"},"PeriodicalIF":6.7000,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Attributes Based Vehicular Named Data Networking for Driving Assistance\",\"authors\":\"Xiaonan Wang;Gaoyang Wu\",\"doi\":\"10.1109/TNSE.2025.3550154\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Named Data Networking (NDN) provides an efficient data delivery paradigm, so it is introduced to vehicular environments, called the Vehicular Named Data Networking (VNDN), to enhance efficiency of vehicular data dissemination. NDN only provides the pull-based data delivery mode, but vehicular data is required to be transmitted in both push and pull modes. Moreover, the caching-everything-everywhere strategy employed by NDN is inefficient in vehicular scenarios because vehicles have limited storage resources. Taking these issues into account, we propose an attributes based vehicular named data networking framework, and aim to reduce data dissemination latency and overheads. The main idea behind the framework is to exploit vehicle attributes and relationships between routes and vehicular data to enhance stability of persistent paths and efficiency of in-network caching, ultimately achieving rapid data dissemination. The experiment results demonstrate the superiority of the framework in terms of data dissemination latency, overheads and success rates.\",\"PeriodicalId\":54229,\"journal\":{\"name\":\"IEEE Transactions on Network Science and Engineering\",\"volume\":\"12 4\",\"pages\":\"2582-2592\"},\"PeriodicalIF\":6.7000,\"publicationDate\":\"2025-03-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Network Science and Engineering\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10922141/\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Network Science and Engineering","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10922141/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Attributes Based Vehicular Named Data Networking for Driving Assistance
The Named Data Networking (NDN) provides an efficient data delivery paradigm, so it is introduced to vehicular environments, called the Vehicular Named Data Networking (VNDN), to enhance efficiency of vehicular data dissemination. NDN only provides the pull-based data delivery mode, but vehicular data is required to be transmitted in both push and pull modes. Moreover, the caching-everything-everywhere strategy employed by NDN is inefficient in vehicular scenarios because vehicles have limited storage resources. Taking these issues into account, we propose an attributes based vehicular named data networking framework, and aim to reduce data dissemination latency and overheads. The main idea behind the framework is to exploit vehicle attributes and relationships between routes and vehicular data to enhance stability of persistent paths and efficiency of in-network caching, ultimately achieving rapid data dissemination. The experiment results demonstrate the superiority of the framework in terms of data dissemination latency, overheads and success rates.
期刊介绍:
The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.