LCD: 为车辆编队的低延迟命令分发
LCD: Low Latency Command Dissemination for A Platoon of Vehicles
AI总结：
本文提出一种线性动态规划算法，通过逆向归纳和交换论证减少车辆编队中的命令分发延迟，并通过马尔可夫链与M/M/1排队模型获得闭式解，仿真结果表明该算法在分发率和延迟方面优于现有方法。
摘要：
在车辆编队中，领头车通过车对车通信周期性地向后续车辆分发控制命令，但如何在多车辆中减少命令分发延迟并确保尾车成功接收消息具有挑战性。本文提出了一种新的线性动态规划算法，利用逆向归纳和交换论证来最小化车辆的分发延迟。此外，通过利用马尔可夫链与M/M/1排队模型，获得了车辆编队中分发延迟的闭式解。仿真结果表明，所提出的动态规划算法相比文献中的类似算法在分发率上提高了至少50.9%，并且在延迟方面接近最佳性能，最大延迟差距不超过0.2秒。
英文摘要：
In a vehicular platoon, a lead vehicle that is responsible for managing the platoon's moving directions and velocity periodically disseminates control commands to following vehicles based on vehicle-to-vehicle communications. However, reducing command dissemination latency with multiple vehicles while ensuring successful message delivery to the tail vehicle is challenging. We propose a new linear dynamic programming algorithm using backward induction and interchange arguments to minimize the dissemination latency of the vehicles. Furthermore, a closed form of dissemination latency in vehicular platoon is obtained by utilizing Markov chain with M/M/1 queuing model. Simulation results confirm that the proposed dynamic programming algorithm improves the dissemination rate by at least 50.9%, compared to similar algorithms in the literature. Moreover, it also approximates the best performance with the maximum gap of up to 0.2 second in terms of latency.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
