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A Self-Adaptive V2V Communication System with DSRC

Authors: Daxin Tian; Hao Luo; Jianshan Zhou; Yunpeng Wang; Guizhen Yu; Haiying Xia;

A Self-Adaptive V2V Communication System with DSRC

Abstract

Dedicated Short Range Communication (DSRC) standards have been defined as the physical and MAC layers in the context of vehicular communications. In this work, the implementations of IEEE 802.11p and IEEE 1609-family standards developed for DSRC are reviewed firstly, then a novel self-adaptive vehicle to vehicle(V2V) Communication System based on 802.11p is designed in details, which relates the required rebroadcasting frequency to both the underlying vehicular traffic and packet loss characteristics and is able to dynamically adapt its broadcasting frequency to variations in vehicular traffic and network topology in order to reduce the probability of vehicle collision. The real communication experiments are set up and the performances of this proposed system are examined and analyzed in the context of V2V communication for some real different environmental conditions. Results show the notable efficiency and self-adaptability of the system in real world.

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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!
11
Top 10%
Top 10%
Average
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