A Novel Collision Supervision and Avoidance Algorithm for Scalable MAC of Vehicular Networks
A Novel Collision Supervision and Avoidance Algorithm for Scalable MAC of Vehicular Networks作者机构：School of Information Science and Technology Donghua University
出 版 物：《Chinese Journal of Electronics》 (电子学报(英文))
年 卷 期：2021年第30卷第1期
页 面：164-170页
核心收录：
学科分类：0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080204[工学-车辆工程] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0802[工学-机械工程] 0701[理学-数学]
主 题：Vehicular networks Contention based scalable media access control Collision supervision and avoidance Adaptive backoff state transition Markov chain model
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.
同方期刊数据库