Building and Simulating Multi-Dimensional Drone Topologies
Building and Simulating Multi-Dimensional Drone Topologies
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DOI：
10.1145/3416010.3423235
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发表时间：
2020-11
期刊：
影响因子：
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通讯作者：
John Wensowitch;Mahmoud Badi;D. Rajan;J. Camp
中科院分区：
文献类型：
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作者：
John Wensowitch;Mahmoud Badi;D. Rajan;J. Camp
下一波无人机应用正在从可重复的单无人机活动（如评估传播环境）转向基于团队的多无人机目标（如基于无人机的应急服务）。与此同时，测试平台也在寻求评估新兴概念，如高度定向和分布式无线通信。然而，这两项工作之间缺乏交集，无法表征无人机机身、天线放置、群拓扑和多维连接需求的影响，这些都需要在飞行中使用周围的测试平台基础设施进行实验。在这项工作中，我们设计了一个多维无人机通信基础设施（MuDDI），以捕获复杂的空间无线信道关系，当应用程序从单无人机扩展到共享三维空间内的群级网络时，无人机链接体验这些关系。在户外实验挑战的推动下，我们确定了对高度受控的室内环境的需求，在这种环境中，外部因素可以得到缓解。为此，我们首先构建了一个开源无人机平台，以提供可编程控制，并可查看内部飞行控制系统和传感器，从而实现在隔离环境中的专业协调和精确可重复定位。然后，我们设计了一个无线数据采集系统，并集成分布式软件定义无线电（SDR），以检查从周围区域的多维无线行为。我们实现并展示了从不同高度和空间位置的测量角度的价值，具有相同的时间概念。最后，我们展示了如何从实验测量多维模型可以实现模拟多无人机网络在实际规模。
The next wave of drone applications is moving from repeatable, single-drone activities such as evaluating propagation environments to team-based, multi-drone objectives such as drone-based emergency services. In parallel, testbeds have sought to evaluate emerging concepts such as highly-directional and distributed wireless communications. However, there is a lack of intersection between the two works to characterize the impact of the drone body, antenna placement, swarm topologies, and multi-dimensional connectivity needs that require in-flight experimentation with a surrounding testbed infrastructure. In this work, we design a Multi-Dimensional Drone Communications Infrastructure (MuDDI) to capture complex spatial wireless channel relationships that drone links experience as applications scale from single-drone to swarm-level networks within a shared three-dimensional space. Driven by the challenges of outdoor experimentation, we identify the need for a highly-controlled indoor environment where external factors can be mitigated. To do so, we first build an open-source drone platform to provide programmable control with visibility into the internal flight control system and sensors enabling specialized coordination and accurate repeatable positioning within the isolated environment. We then design a wireless data acquisition system and integrate distributed software defined radios (SDRs) in order to inspect multi-dimensional wireless behavior from the surrounding area. We achieve and demonstrate the value of measurement perspectives from diverse altitudes and spatial locations with the same notion of time. Finally, we demonstrate how multi-dimensional models from experimental measurements can be implemented to simulate multi-drone networks on a practical scale.