A Millimeter Wave based Sensor Data Broadcasting Scheme for Vehicular Communications

Abstract

In recent years, vehicles are becoming smart with the aid of various onboard sensing, communication and computing capability, which is helpful to improve road safety and driving experiments. With data fusion technique, a vehicle can even increase the driving safety by obtaining sensor data from other vehicles. The millimeter Wave (mmWave) based Vehicle-to-Vehicle (V2V) communication technology has become a promising technology to transmit sensor data in huge size such as video streams. However, the high radio frequency of mmWave makes it vulnerable to obstacles. Furthermore, the directional propagation property is not efficient to broadcast information among vehicles. In this paper, we propose a broadcasting scheme to guarantee each vehicle to get the sensor data of all other vehicles. Head vehicles are selected to gather the information on the environment and decide those transmission vehicles and receiving vehicles in each time slot. A graph-based routing selection algorithm is proposed with relatively low complexity. Moreover, the upper bound of broadcasting delay for one dimensional platoon is analyzed based on the network calculus theory. Simulation results indicate that the proposed scheme has faster delivery rate compared to the traditional First-In-First-Out (FIFO) scheme. The maximum broadcasting delay of the proposed scheme is less than the traditional schemes about 30% in different scenarios.

Publication DOI: https://doi.org/10.1109/ACCESS.2019.2932428
Divisions: College of Engineering & Physical Sciences > School of Informatics and Digital Engineering > Electrical and Electronic Engineering
College of Engineering & Physical Sciences > Adaptive communications networks research group
College of Engineering & Physical Sciences
Additional Information: This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/. Funding: This work was supported in part by the Science and Technology Program of Sichuan Province, China, under Grant 2019YFH0007, in part by the Fundamental Research Funds for the Central Universities, China, under Grant ZYGX2016Z011, in part by the Joint Fund of the Ministry of Education of China and China Mobile under Grant MCM 0160304, and in part by the EU H2020 Project COSAFE under Grant MSCA-RISE-2018-824019.
Uncontrolled Keywords: Beamforming sensor data,V2V communication,broadcast,mmWave
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Related URLs: https://ieeexpl ... authors#authors (Publisher URL)
PURE Output Type: Article
Published Date: 2019-08-01
Accepted Date: 2019-07-21
Authors: Chen, Xiaosha
Leng, Supeng
Tang, Zuoyin (ORCID Profile 0000-0001-7094-999X)
Xiong, Kai
Qiao, Guanhua

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