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Sensor Selection for Parameterized Random Field Estimation in Wireless Sensor Networks
  • 期刊名称:Journal of Control Theory and Applications
  • 时间:2011.1.20
  • 页码:44-50
  • 分类:TP13[自动化与计算机技术—控制科学与工程;自动化与计算机技术—控制理论与控制工程]
  • 相关基金:supported by the National Natural Science Foundation of China-Key Program (No. 61032001),the National Natural Science Foundation of China (No. 60828006)
  • 相关项目:多传感器系统误差稳健估计与数据抗差关联基础理论研究
中文摘要:

We consider the random field estimation problem with parametric trend in wireless sensor networks where the field can be described by unknown parameters to be estimated. Due to the limited resources, the network selects only a subset of the sensors to perform the estimation task with a desired performance under the D-optimal criterion. We propose a greedy sampling scheme to select the sensor nodes according to the information gain of the sensors. A distributed algorithm is also developed by consensus-based ...

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