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.

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Publication Details

Journal
IEEE Transactions on Network Science and Engineering
Published
2025-03-11
DOI
https://doi.org/10.1109/tnse.2025.3550154
Citations
7
Primary Topic
Caching and Content Delivery
Type
article
Field-Weighted Citation Impact
10.41
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article

Attributes Based Vehicular Named Data Networking for Driving Assistance

Gaoyang Wu, Xiaonan Wang
7 citations
IEEE Transactions on Network Science and Engineering
Caching and Content Delivery
10.41
article

Attributes Based Vehicular Named Data Networking for Driving Assistance

Gaoyang Wu, Xiaonan Wang
article en
7 citations

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.

IEEE Transactions on Network Science and EngineeringVol. 12(4)
Suzhou University of Technology (CN)
Openalex Percentile: Top 2%
Caching and Content Delivery
10.41
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