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Wireless Networks
Erschienen in: Wireless Networks 3/2020

07.11.2019

Traffic big data assisted V2X communications toward smart transportation

verfasst von: Chang An, Celimuge Wu

Erschienen in: Wireless Networks | Ausgabe 3/2020

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Abstract

In order to enable smart transportation, an efficient vehicle-to-everything (V2X) communication scheme is required. However, due to the mobility of vehicles and temporal varying features of vehicular environment, it is challenging to design an efficient communication scheme for vehicular networks. In this paper, we first give a review on the recent research efforts for solving communication challenges in vehicular networks, and then propose a traffic Big Data Assisted Communication scheme, BDAC, for vehicular networks. The proposed scheme uses past traffic big data to estimate the vehicle density and velocity, and then uses the prediction results to improve the V2X communications. We implement the proposed scheme in a multi-hop broadcast protocol to show the advantage of the proposed scheme by comparing with other baselines.
Vorheriger Artikel Cooperative caching and delivery algorithm based on content access patterns at network edge
Nächster Artikel Multi-objective computation offloading for Internet of Vehicles in cloud-edge computing

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Metadaten
Titel
Traffic big data assisted V2X communications toward smart transportation
verfasst von
Chang An
Celimuge Wu
Publikationsdatum
07.11.2019
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 3/2020
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-019-02181-6

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