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Cited by 304

The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.

Vehicular Communications: A Network Layer Perspective

Open access
Peng, Haixia, Le Liang, Shen, Xuemin, Li, Geoffrey Ye·2019·IEEE Transactions on Vehicular Technology

Abstract

Vehicular communications, referring to information exchange among vehicles, infrastructures, etc., have attracted a lot of attention recently due to great potential to support intelligent transportation, various safety applications, and on-road infotainment. In this paper, we provide a comprehensive overview of a recent research on enabling efficient and reliable vehicular communications from the network layer perspective. First, we introduce general applications and unique characteristics of vehicular communication networks and the corresponding classifications. Based on different driving patterns, we categorize vehicular networks into manual driving vehicular networks and automated driving vehicular networks, and then discuss the available communication techniques, network structures, routing protocols, and handoff strategies applied in these vehicular networks. Finally, we identify the challenges confronted by the current vehicular networks and present the corresponding research opportunities.

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Cites

Show all 80 references

Research works printed but not linked: 30

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Metadata

Authors
Peng, H., Liang, L., Shen, X., & Li, G. Y.
Venue
IEEE Transactions on Vehicular Technology
Published
2019-02
Volume
68
Issue
2
Pages
1064-1078
ISSN
  • 0018-9545 (ISSN-L)
  • 1939-9359
OpenAlex
W2964048168
Cited by
304
References
80
FWCI
15.15
Type
journal article
Language
en
Open access
green
Funders
National Science Foundation (1443894, 1731017)

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CoChat. (2026). Citation check: Vehicular Communications: A Network Layer Perspective. https://app.cochat.ai/papers/10.1109/tvt.2018.2833427
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Peng, H., Liang, L., Shen, X., & Li, G. Y. (2019). Vehicular Communications: A Network Layer Perspective. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/tvt.2018.2833427

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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