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Sensor Data Scheduling over a Packet-dropping Network

机译:丢包网络上的传感器数据调度

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In this paper, we consider sensor data scheduling over a packet-dropping network. A sensor having sufficient computation capability runs a local Kalman filter and needs to communicate its local state estimate to a remote estimator. However, the sensor has to decide at each time whether to send its local estimate data to the remote estimator or not due to its limited communication energy. We first provide a necessary condition for a sensor data scheduling scheme to be optimal. We then make use of this necessary condition to construct an optimal sensor data scheduling scheme that minimizes the estimation error at the remote estimator side and satisfies the energy constraint at the sensor side.
机译:在本文中,我们考虑通过数据包丢弃网络进行传感器数据调度。具有足够计算能力的传感器运行本地卡尔曼滤波器,并且需要将其本地状态估计值传达给远程估计器。然而,由于其有限的通信能量,传感器每次必须决定是否将其本地估计数据发送到远程估计器。我们首先为传感器数据调度方案提供最佳的必要条件。然后,我们利用此必要条件来构建最佳传感器数据调度方案,该方案将远程估计器端的估计误差最小化,并满足传感器端的能量约束。

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