城市物联网中无人机的鲁棒多路径通信

Zoheb Shaikh, S. Baidya, M. Levorato
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引用次数: 16

摘要

无人驾驶飞行器(UAV)系统正日益广泛地应用于各种场景和应用中。然而,在城市地区部署它们构成了重大的技术挑战。其中一个最突出的问题是在高度动态和拥挤的频谱中地面站和无人机之间的通信鲁棒性。实际上,相互竞争的数据流可能造成局部或暂时的拥塞,从而削弱地面站控制无人机的能力。本文的主要贡献是为无人机系统提供了一个鲁棒的多路径通信框架。该框架对从地面站到每架无人机的多个无线多跳路径的性能进行连续探测,并动态选择性能最佳的路径支持及时控制。基于现实世界的实现和广泛的现场实验的数值结果表明,所提出的框架能够提供对外生干扰和网络拥塞的鲁棒控制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust Multi-Path Communications for UAVs in the Urban IoT
Unmanned Aerial Vehicle (UAV) systems are being increasingly used in a broad range of scenarios and applications. However, their deployment in urban areas poses important technical challenges. One of the most prominent concerns is the robustness of communications between the ground stations and the UAVs in a highly dynamic and crowded spectrum. Indeed, competing data streams may create local or temporary congestion impairing the ground stations to control the UAVs. The main contribution of this paper is a robust multi-path communication framework for UAV systems. The framework continuously probes the performance of multiple wireless multi-hop paths from the ground stations to each UAV, and dynamically selects the path providing the best performance to support timely control. Numerical results, based on a real-world implementation and extensive field experimentation, demonstrate the ability of the proposed framework to provide robust control against exogenous interference and network congestion.
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