论文标题
Grady：探索运动意识，以在接地动态传感器网络中有效路由
GrADyS: Exploring movement awareness for efficient routing in Ground-and-Air Dynamic Sensor Networks
论文作者
论文摘要
存在几种情况，其中需要通过许多传感器扫描或监视某个大小的地理区域。尽管如此，部署和维护分布式传感器的无线通信基础架构绝对不可能，要么是非常昂贵的。要么是因为该区域隐藏在墙壁后面，因此不容易进入，难以通过，或者被某些致命的细菌或病毒发射机感染。在这种情况下，最好的是将（一次性）传感器散布在该区域中，并让它们通过无线手段将收集的传感器数据传输到过度飞行的无人机/无人机。然后从物理上将收集的数据从监视区域运到中央基地站，该数据可作为通往互联网的门户。该项目Grady旨在研究有关此类数据收集的两组问题。前者的目的是以分布式的方式协调几个自动无人机，以收集生成的数据，同时仅依靠临时通信。后者旨在开发路由协议，以网络网络蓝牙网格的低功率节点。这两个研究线都已经呈现了本文介绍的初步结果。
Several situations exist where a geographic region of some size needs to be scanned or monitored through many sensors. Still, it is either absolutely impossible or prohibitively expensive to deploy and maintain wireless communication infrastructure for the distributed sensors. Either because the region is hidden behind walls, not easily accessible, hard to get through, or infected with some lethal bacteria or virus transmitter. In this case, the best is to scatter (disposable) sensors in the region and let them transmit the collected sensor data by wireless means to an overflying UAV/drone. Which then physically hauls the collected data from the monitored area to a central base station that functions as a gateway to the Internet. The project GrADyS aims to research two sets of problems regarding such data collection. The former aims to coordinate several autonomous UAVs in a distributed manner to collect the generated data while relying only on ad-hoc communication. The latter aims to develop routing protocols to mesh networks Bluetooth Mesh's Low Power Nodes. Both research lines already present preliminary results that are presented in this paper.
