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Performance Enhancement of On-Board Communication Networks Using Outage Prediction

机译:使用中断预测来增强车载通信网络的性能

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A research area that has become increasingly important in recent years is that of on-board mobile communication, where users on a vehicle are connected to a local network that attaches to the Internet via a mobile router and a wireless link. In this architecture, link disruptions (e.g., due to signal degradation) may have an immediate impact on a potentially large number of connections. We argue that the advance knowledge of public transport routes, and their repetitive nature, allows a certain degree of prediction of impending link disruptions, which can be used to offset their catastrophic impact. Focusing on the transmission control protocol (TCP) and its extension known as Freeze-TCP, we present a detailed analysis of the performance improvement of TCP connections in the presence of disruption prediction. In particular, we propose a Markov model of Freeze-TCP that captures both the TCP behavior and the prediction+"freezing" feature and, using simulations, show that it accurately predicts the performance of the protocol. Our results demonstrate the significant throughput improvement that can be gained by disruption prediction, even with random packet losses or imperfect timing of the predicted disruptions
机译:近年来,越来越重要的研究领域是车载移动通信,在该领域中,车辆上的用户连接到通过移动路由器和无线链路连接到Internet的局域网。在这种架构中,链路中断(例如由于信号降级)可能对潜在的大量连接产生直接影响。我们认为,对公共交通路线及其重复性质的深入了解可以在一定程度上预测即将发生的链路中断,这可以用来抵消其灾难性的影响。着眼于传输控制协议(TCP)及其扩展名为Freeze-TCP,我们对存在中断预测的情况下TCP连接的性能改进进行了详细分析。特别是,我们提出了一个Freeze-TCP的马尔可夫模型,该模型同时捕获了TCP行为和预测+“冻结”功能,并通过仿真显示,它可以准确地预测协议的性能。我们的结果表明,即使随机丢包或预测中断的时机不完善,中断预测也可以显着提高吞吐量。

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