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

作　　者：WANG Shuai LU Yan ZHU Jie WANG Ping 

机构地区：[1]School of Information Science and Technology,Donghua University,Shanghai 201620,China

出　　处：《Chinese Journal of Electronics》2021年第1期164-170,共7页电子学报（英文版）

摘　　要：In order to meet low-latency and ultra-reliable 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 two-dimensional 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 < 6.5 ms even in the high-density and high-mobility environment.

关 键 词：Vehicular networks Contention based scalable media access control Collision supervision and avoidance Adaptive backoff state transition Markov chain model 

分 类 号：U463.6[机械工程—车辆工程] TN929.5[交通运输工程—载运工具运用工程]