论文标题

空中网络的联合交通无人机的位置和预测路线

Joint Traffic-Aware UAV Placement and Predictive Routing for Aerial Networks

论文作者

Almeida, Eduardo Nuno, Coelho, André, Ruela, José, Campos, Rui, Ricardo, Manuel

论文摘要

由无人驾驶汽车(UAV)组成的航空网络在没有网络基础架构可用时,或者增强网络容量时,它将成为一种有趣的解决方案,是为用户提供按需无线连接的有趣解决方案。本文提出了用于航空网络的流量感知拓扑控制解决方案,将无人机的放置与预测性和集中式路由协议结合在一起。通过无人机放置和路由解决方案组合创建的协同作用,使空中网络可以根据用户的交通需求无缝更新其拓扑,同时最大程度地减少了无人机移动造成的破坏。结果,提供给用户提供的服务质量(QoS)。在本文中通过仿真和实验测试台对所提出的解决方案的组成部分进行了分别描述和评估。结果表明,与相应的基线解决方案相比,所有组件都会改善提供给用户的QoS。

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 individually in this article by means of simulation and an experimental testbed. The results show that all the components improve the QoS provided to the users when compared to the corresponding baseline solutions.

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