Sensor selection for parameterized random field estimation in wireless sensor networks  

作　　者：Weng, Yang  Xiao, Wendong  Xie, Lihua 

机构地区：[1] School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore [2] Institute for Infocomm Research, Singapore 138632, Singapore [3] School of Mathematics, Sichuan University, Chengdu Sichuan 610064, China

出　　处：《控制理论与应用（英文版）》2011年第1期44-50,共7页

基　　金：supported by the National Natural Science Foundation of China-Key Program (No. 61032001),the National Natural Science Foundation of China (No. 60828006)

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 incremental sensor node selection through information quality computation for and message exchange among neighboring sensors. Simulation results show the good performance of the proposed algorithms.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 incremental sensor node selection through information quality computation for and message exchange among neighboring sensors. Simulation results show the good performance of the proposed algorithms.

关 键 词：Random field estimation Parametric trend Wireless sensor network Sensor selection NP-COMPLETENESS Distributed processing 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]