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A Link Quality Estimation Model for a Joint Deployment of Unmanned Aerial Vehicles and Wireless Sensor Networks

机译:联合展开无人机和无线传感器网络的链路质量估计模型

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In the past two decades, several applications have been proposed for Wireless Sensor Networks (WSNs). Some of these applications, such as habitat monitoring, active volcano monitoring, and toxic gas detection, exclude the involvement of human presence because the environments are either dangerous, inaccessible, or too extensive. The scope of these applications can be extended if the ground networks are assisted by a network of Unmanned Aerial Vehicles (UAVs). Paramount to this is the stability of the wireless links the UAVs establish with the ground nodes. Lossy and unstable links are costly to maintain the UAVs may exhaust their batteries prematurely. In this paper, we experimentally investigate the stability of aerial-to-ground links and propose a stochastic model to predict link quality as a function of time. The model can be used to estimate goodput, determine mission duration, and estimate short-term link connection and disconnection durations.
机译:在过去二十年中,已提出了用于无线传感器网络(WSN)的若干应用程序。 这些应用中的一些,如栖息地监测,活性火山监测和有毒气体检测,排除了人类存在的参与,因为环境是危险的,无法进入的或过于广泛的。 如果由无人驾驶飞行器(UAV)网络辅助地面网络,则可以扩展这些应用的范围。 为此至关重要是无线链路与地区节点建立的无线网络的稳定性。 无损和不稳定的链接昂贵的是维持无人机可以过早地排出电池。 在本文中,我们通过实验研究了空中与地链路的稳定性,并提出了一种随机模型来预测作为时间的函数的链路质量。 该模型可用于估计净化,确定任务持续时间和估计短期链路连接和断开持续时间。

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