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首页> 外文会议>Information Sciences and Systems, 2009. CISS 2009 >A new scheme for energy-efficient estimation in a sensor network
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A new scheme for energy-efficient estimation in a sensor network

机译：传感器网络中能效估算的新方案

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In this paper, energy efficient estimation of an unknown parameter in Gaussian noise is studied in a sensor networking context. A new approach is suggested to obtain a good approximation to the traditional maximum likelihood (ML) estimate, which can save energy by reducing the number of sensor transmissions. Specifically, we describe a new and simple transmission scheme in which the sensor transmissions are ordered according to the magnitude of their measurements, and the sensors with small magnitude measurements, smaller than a threshold, do not transmit. A bound on the error of approximation is derived, which can be utilized to dynamically determine the threshold such that a trade-off between the accuracy of the approximation and the energy savings can be maintained. Through the numerical results, we show that our approach can be very energy efficient with only a negligible estimation error introduced.
机译：在本文中，在传感器网络环境中研究了高斯噪声中未知参数的能效估计。建议一种新方法来获得与传统最大似然（ML）估计值的良好近似值，该估计值可以通过减少传感器传输次数来节省能量。具体而言，我们描述了一种新的简单传输方案，其中传感器传输根据其测量值的大小排序，而幅度测量值小于阈值的传感器不进行传输。得出近似误差的界限，可以将其用于动态确定阈值，从而可以保持近似精度与节能之间的权衡。通过数值结果，我们表明我们的方法在引入可忽略不计的估计误差的情况下可以非常节能。

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