SENSOR SELECTION FOR RANDOM FIELD ESTIMATION IN WIRELESS SENSOR NETWORKS  

作　　者：Yang WENG Lihua XIE Wendong XIAO 

机构地区：[1]College of Mathematics,Sichuan University [2]School of Electrical and Electronic Engineering,Nanyang Technological University [3]School of Automation and Electrical Engineering,University of Science and Technology Beijing

出　　处：《Journal of Systems Science & Complexity》2012年第1期46-59,共14页系统科学与复杂性学报（英文版）

基　　金：supported by the National Natural Science Foundation of China-Key Program under Grant No. 61032001;the National Natural Science Foundation of China under Grant No.60828006

摘　　要：This paper studies the sensor selection problem for random field estimation in wireless sensor networks. The authors first prove that selecting a set of I sensors that minimize the estimation error under the D-optimal criterion is NP-complete. The authors propose an iterative algorithm to pursue a suboptimal solution. Furthermore, in order to improve the bandwidth and energy efficiency of the wireless sensor networks, the authors propose a best linear unbiased estimator for a Gaussian random field with quantized measurements and study the corresponding sensor selection problem. In the case of unknown covariance matrix, the authors propose an estimator for the covariance matrix using measurements and also analyze the sensitivity of this estimator. Simulation results show the good performance of the proposed algorithms.

关 键 词：BLUE covarianee matrix exchange algorithm NP-COMPLETENESS QUANTIZATION random field sensor selection. 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置] O212.4[自动化与计算机技术—控制科学与工程]