Performance Analysis of Caterpillar RLNC for Multi-Hop Communication

Paul Schwenteck, Elif Tasdemir, R. Radeke, F. Fitzek
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引用次数: 1

Abstract

Vehicle Platooning combines lower fuel consumption with safe and efficient transportation in a cooperative driving application. To ensure this, vehicles must communicate quickly and reliably. The sliding window protocol Caterpillar Random Linear Network Coding (CRLNC) is used as it does not rely on acknowledgements and uses network coding to reduce losses. However, the protocol was intentionally designed for single hop scenarios. Therefore, three contributions to the CRLNC protocol are presented in this paper to optimize it for multi hop/single path transmissions. The contributions are idle-slot-management, adaptive-window, and queue-management. By effectively combining these contributions, a large gain in throughput of up to 40% is achieved. Furthermore, it was investigated what are the optimal protocol parameters for CRLNC in single path scenarios are. It is shown that the best transmission in terms of throughput and delay is achieved, when the code rate is less than one minus the error probability and a large window size is used. Even if the error probability is unknown, a large window size will bring more benefits to the transmission.
卡特彼勒RLNC多跳通信性能分析
车辆队列在协作驾驶应用中结合了更低的燃油消耗和安全高效的运输。为了确保这一点,车辆必须快速可靠地进行通信。采用滑动窗口协议卡特彼勒随机线性网络编码(CRLNC),因为它不依赖于确认,并使用网络编码来减少损失。然而,该协议是专门为单跳场景设计的。因此,本文提出了对CRLNC协议的三个贡献,以优化其多跳/单路径传输。贡献是空闲槽管理、自适应窗口和队列管理。通过有效地结合这些贡献,可以实现高达40%的吞吐量增益。进一步研究了单路径下CRLNC的最佳协议参数。结果表明,当码率小于1减去错误概率并使用较大的窗口尺寸时,在吞吐量和延迟方面可以实现最佳传输。即使误差概率未知,大的窗口尺寸也会给传输带来更多的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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