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在车载网中,为了保证数据传输的服务质量,一个稳定高效的信道访问策略是十分必要的.据此,在802.11p协议的链路层信道访问控制协议HCCA策略的基础上,提出一种基于马尔科夫决策过程的紧急数据优先的策略(URF-HCCA)来保证数据传输的服务质量.该策略采用按需分配资源的方式来减少系统的传输冗余和传输延迟.此外,它还引入了基于延迟预测的接入控制模型.仿真结果表明,与其他几种策略相比,URF-HCCA优化策略可以很好的满足传输的服务质量需求,提高信道利用率、降低平均传输延迟以及系统的丢包率.
In vehicle network, in order to ensure the quality of data transmission, a stable and efficient channel access strategy is necessary.Accordingly, on the basis of HCCA protocol of link layer channel access control protocol of 802.11p protocol, (URF-HCCA) in the decision-making process of Markov to ensure the quality of service for data transmission.The strategy adopts on-demand resource allocation to reduce transmission redundancy and transmission delay of the system.In addition, it also introduces The simulation results show that compared with several other strategies, the URF-HCCA optimization strategy can meet the QoS requirements of transmission, improve the channel utilization, reduce the average transmission delay and the loss of the system Packet rate.