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Joint traffic-aware UAV placement and predictive routing for aerial networks

机译:联合交通感知UAV放置和空中网络预测路由

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摘要

Aerial networks, composed of Unmanned Aerial Vehicles (UAVs) acting as Wi-Fi access points or cellular base stations, are emerging as an interesting solution to provide on-demand wireless connectivity to users, when there is no network infrastructure available, or to enhance the network capacity. This article proposes a traffic aware topology control solution for aerial networks that holistically combines the placement of UAVs with a predictive and centralized routing protocol. The synergy created by the combination of the UAV placement and routing solutions allows the aerial network to seamlessly update its topology according to the users' traffic demand, whilst minimizing the disruption caused by the movement of the UAVs. As a result, the Quality of Service (QoS) provided to the users is improved. The components of the proposed solution are described and evaluated in this article by means of simulation and an experimental testbed. The results show that the QoS provided to the users is significantly improved when compared to the corresponding baseline solutions.
机译:由非人的空中车辆(无人机)组成的空中网络是作为Wi-Fi接入点或蜂窝基站的,作为一个有趣的解决方案,为用户提供点播的无线连接,当没有可用的网络基础设施或增强网络容量。本文提出了用于空中网络的流量感知拓扑控制解决方案,该网络网络与预测和集中路由协议全能地结合了无人机的放置。通过UAV放置和路由解决方案组合创建的协同作用允许空中网络根据用户的流量需求无缝地更新其拓扑,同时最大限度地减少了无人机的运动引起的中断。结果,提高了向用户提供的服务质量(QoS)。通过模拟和实验试验用来描述和评估所提出的解决方案的组分。结果表明,与相应的基线解决方案相比,向用户提供的QoS显着提高。

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