A Novel Collision Supervision and Avoidance Algorithm for Scalable MAC of Vehicular Networks

WANG Shuai; LU Yan; ZHU Jie; WANG Ping

doi:10.1049/cje.2020.12.001

Volume 30 Issue 1

Jan. 2021

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WANG Shuai, LU Yan, ZHU Jie, et al., “A Novel Collision Supervision and Avoidance Algorithm for Scalable MAC of Vehicular Networks,” Chinese Journal of Electronics, vol. 30, no. 1, pp. 164-170, 2021, doi: 10.1049/cje.2020.12.001

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WANG Shuai, LU Yan, ZHU Jie, et al., “A Novel Collision Supervision and Avoidance Algorithm for Scalable MAC of Vehicular Networks,” Chinese Journal of Electronics, vol. 30, no. 1, pp. 164-170, 2021, doi: 10.1049/cje.2020.12.001

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A Novel Collision Supervision and Avoidance Algorithm for Scalable MAC of Vehicular Networks

doi: 10.1049/cje.2020.12.001

School of Information Science and Technology, Donghua University, Shanghai 201620, China

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Author Bio:
WANG Shuai  received the B.S. degree in communication engineering from Donghua University, Shanghai, China in 2016. Now he is currently working forward for the Ph.D. degree at School of Information Science and Technology, Donghua University, Shanghai, China. His research interests include spatial modulation, vehicular networks and 5G mobile communication. (Email: 2161187@mail.dhu.edu.cn)

LU Yan  received the B.S. degree in communication engineering from Donghua University, Shanghai, China in 2019. She is currently pursuing the M.S. degree in information and communication engineering, Donghua University, Shanghai, China. Her research interests include V2X communications, resource scheduling and 5G mobile communication.(Email: 2191386@mail.dhu.edu.cn)

ZHU Jie  received the B.S. degree in Wuhan Institute of Technology, China. She is currently pursuing the M.S. degree in information and communication engineering from Donghua University, Shanghai, China. Her research interests include spatial modulation and mobile communication. (Email: 2171315@mail.dhu.edu.cn)
Corresponding author: WANG Ping (corresponding author) got the Ph.D. degree from the Institute of Semiconductors of the Chinese academy of sciences (CAS), China, in 2000 and held the positions as the postdoc in Eindhoven University of Technology (TU/e), Netherlands. She has been in the Shanghai Institute of Microsystem and Information Technology (SIMIT) from 2004 to 2015 and now in Donghua University, China. Now, she is the member of IEEE and the senior member of Chinese institute of electronics (CIE). Her research area includes 5G, V2X communication and radio channel sounding. She has fulfilled the B3G field trial environment of "FuTURE Project" supported by the National High Technology Research and Development Program, as well as several 4G/LTE industrialization projects supported by the National Science and Technology Major Project. She has also made the proposals on the channel model of the UVHR environment to the ITU-R Technical Recommendations. (Email: pingwang@dhu.edu.cn)
Received Date: 2019-10-21
Accepted Date: 2020-07-24
Publish Date: 2021-01-01

Abstract

Abstract

In order to meet low-latency and ultrareliable requirements on safety services in vehicular networks, this paper proposes a novel Collision supervision and avoidance (CSA) algorithm for the contention based scalable media access control protocol. The twodimensional Markov chain model of adaptive backoff state transition criterion in CSA has been built, which could efficiently match the backoff states of nodes to the dynamic changes of vehicular networks. The scalable transmissions can be achieved through supervised trend and matching backoff mechanisms with three adaptive backoff modes. The packet transmit probabilities for the backoff modes have been derived with the theoretical result of the enhanced throughput. The simulation results show the remarkable scalability performance such as normalized throughput > 0.92, PDR > 86% and delay < 6.5ms even in the high-density and high-mobility environment.

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References(17)

References

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