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A predictive power control scheme for energy efficient state estimation via wireless sensor networks

机译:无线传感器网络的节能状态估计预测功率控制方案

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摘要

We investigate state estimation via wireless sensor networks over fading channels causing random packet loss. Packet loss probabilities depend upon the time-varying channel gains and transmission power levels used by the sensors. We develop a predictive controller which trades off sensor energy expenditure versus state estimation accuracy. The latter is measured by the expected value of the future covariance matrices provided by the associated time-varying Kalman Filter. To further conserve energy at the sensors, the controller is located at the gateway and sends coarsely quantized power increment commands, only whenever necessary. Simulations based on real channel measurements show that the proposed approach gives excellent results.
机译:我们通过无线传感器网络调查状态估计,通过衰落通道引起随机数据包丢失。分组损耗概率取决于传感器使用的时变通道增益和传输功率电平。我们开发了一种预测控制器,其折断传感器能源支出与状态估计准确性。后者通过相关的时变卡尔曼滤波器提供的未来协方差矩阵的预期值来测量。为了进一步节省传感器的能量,控制器位于网关处,并仅在必要时发送粗略量化的电源增量命令。基于真实信道测量的仿真表明,该方法提供了优异的结果。

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