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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao IEEE Networking Lett...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
IEEE Networking Letters
Article . 2020 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
DBLP
Article . 2020
Data sources: DBLP
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Data Delivery in Vehicular Named Data Networking

Authors: Xiaonan Wang 0001; Zhanyu Wang; Shaohao Cai;

Data Delivery in Vehicular Named Data Networking

Abstract

The traditional vehicular networks focus on end-to-end communications, which incur vehicular data delivery inefficiency. In this letter, we introduce the Named Data Networking (NDN) to the vehicular network, and aim to exploit the advantages of NDN to enhance the vehicular data delivery efficiency. However, in the vehicular network, a large number of mobile vehicles are involved in the routing backbone, which results in the frequent change of the backbone topology and makes it difficult to maintain the forwarding information and achieve the data delivery aggregation that is the main advantage of NDN. Consequently, vehicles usually employ broadcast to perform data delivery, which leads to considerable data delivery costs and latency. To reduce the data delivery cost and latency, in this letter we propose a data delivery method for VNDN. The main idea behind the method is to maintain forwarding tables and achieve aggregation by constructing a vehicular backbone so that multiple consumers can depend on forwarding tables to acquire data via one data deliver process in a unicast way. The method is assessed, and the experimental results demonstrate that the proposed method reduces the data delivery costs and latency.

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Top 10%
Top 10%
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