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Sensor networks and inverse scattering

机译:传感器网络和逆散射

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We consider a wired network of analog sensors in one dimension. Each sensor measures some physical quantity and "communicates" with its adjacent neighbors. The base station can access the network by communicating with the sensors at the boundaries. We show that by making measurements at the boundary (i.e. from the first sensor) we can determine the values of the unknown field values along the entire network stably. The method is based on building an analogy with classical one dimensional inverse scattering (Helmholtz equation) for which the Chen-Rokhlin algorithm provides a highly surprising stable method for recovering the scattering parameters. Simulation results validating the scheme for thousands of sensors are presented.
机译:我们考虑一维模拟传感器的有线网络。每个传感器测量一些物理量,并与其相邻的邻居“通信”。基站可以通过与边界处的传感器进行通信来访问网络。我们表明,通过在边界(即从第一个传感器)进行测量,我们可以稳定地确定整个网络中未知字段值的值。该方法基于建立与经典一维逆向散射(Helmholtz方程)的类比,为此,Chen-Rokhlin算法提供了令人惊讶的稳定方法来恢复散射参数。仿真结果验证了该方案可用于数千个传感器。

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