MmWave communication has emerged as a promising technology to fulfill requirements of gigabit-level data rates, so as to support the exchange of large amounts of sensor data in vehicle-to-vehicle (V2V) communications. However, inter-vehicle line-of-sight (LOS) blockages may significantly deteriorate the link quality and lead to data packet loss. Addationally, it is difficult to coordinate directional transmissions to broadcast massive sensor data to nearby vehicles timely for enhanced environmental awareness. To overcome these challenges, this article proposes a blockage avoidance based multi-hop sensor data dissemination (BAMD) scheme in a centralized manner. First, we propose a mmWave LOS link availability identification method based on the geometric relation among vehicles. Second, the problem of sensor data dissemination among all vehicles is formulated aiming at minimizing the overall transmission delay. To find an approximate solution, a novel transmission utility function based multi-hop data dissemination algorithm is designed jointly considering the distance between vehicles, packet queue, the number of LOS neighbors and concurrent transmissions. By theoretical analysis and extensive simulation, it is indicated that the proposed scheme can achieve a reliable and fast sensor data dissemination. In high-density case, BAMD can improve reliability by 20%\% and reduce transmission delay by 82%\% compared with baselines.

中文翻译：

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多跳毫米波车载网络中基于避障的传感器数据传播


毫米波通信已成为一种很有前途的技术，可以满足千兆位级数据速率的要求，从而支持车对车（V2V）通信中大量传感器数据的交换。然而，车辆间视距（LOS）阻塞可能会显着恶化链路质量并导致数据包丢失。此外，很难协调定向传输以及时向附近的车辆广播大量传感器数据以增强环境意识。为了克服这些挑战，本文提出了一种基于集中式避免阻塞的多跳传感器数据传播（BAMD）方案。首先，我们提出了一种基于车辆之间几何关系的毫米波LOS链路可用性识别方法。其次，提出了所有车辆之间传感器数据传播的问题，旨在最小化整体传输延迟。为了找到近似解，综合考虑车辆之间的距离、数据包队列、LOS邻居数量和并发传输，设计了一种基于传输效用函数的多跳数据传播算法。通过理论分析和广泛的仿真，表明所提出的方案能够实现可靠、快速的传感器数据传播。在高密度情况下，与基线相比，BAMD 可以将可靠性提高 20%\%，传输延迟降低 82%\%。