论文标题

具有最佳重新传播编号的车辆到基础网络的分析模型和绩效评估

Analytical models and performance evaluation of vehicular-to-infrastructure networks with optimal retransmission number

论文作者

Bozkurt, Aytül

论文摘要

已经引入了车辆到基础结构和车辆到车辆通信,以提供高速公路的互联网连接,以满足无处不在的覆盖范围,并通过使用沿路边使用的802.11接入点(APS)来实现高数据覆盖范围,并增加了高数据库的互联网和多媒体需求。为了评估WLAN上车辆网络的性能,我们在本文中调查了通过限制802.11 WLAN的车辆的争夺性质,这些车辆的传输和网络性能通过AP进行了。首先,我们得出了一个分析流量模型,以获取AP的传输范围下的车辆数量。然后,将车辆交通模型与马尔可夫链模型和到达数据包相结合,MG1K排队系统,我们开发了一个模型,评估了DCF机制的性能,并具有最佳的重传编号。基于流量模型,我们还得出了平均到达率到AP的概率。我们工作的一个独特方面是,它将车辆交通模型和退缩程序与M/G/1/K排队模型结合在一起,以研究各种交通负荷条件和系统参数对车辆网络系统的影响。基于我们的模型,我们表明系统的延迟性和通过延迟性能会随着最佳的反式反传感器数M的增加而降低车辆速度,该速度M在网络中自适应地调整了具有车辆迁移率的网络。

Vehicle-to-infrastructure and vehicle-to-vehicle communications has been introduced to provide high rate Internet connectivity to vehicles to meet the ubiquitous coverage and increasing high-data rate internet and multimedia demands by utilizing the 802.11 access points (APs) used along the roadside. In order to evaluate the performance of vehicular networks over WLAN, in this paper, we investigate the transmisison and network performance of vehicles that pass through AP by condidering contention nature of vehicles over 802.11 WLANs. Firstly, we derived an analytical traffic model to obtain the number of vehicles under transmision range of an AP. Then, incorporating vehicle traffic model with Markov chain model and for arrival packets, MG1K queuing system, we developed a model evaluating the performance of DCF mechanism with an optimal retransmission number. Based on traffic model, we also derived the probability of mean arrival rate to AP. A distinctive aspect of our work is that it incorporates both vehicular traffic model and backoff procedure with M/G/1/K queuing model to investigate the impact of various traffic load conditions and system parameters on the vehicular network system. Based on our model, we show that the delay and througput performance of the system reduces with the increasing vehicle velocity due to optimal retransmision number m, which is adaptively adjusted in the network with vehicle mobility.

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