Random Field Estimation with Quantized Measurements in Sensor Networks

被引：0
|
作者：
Weng Yang [1 ,2 ]
Xie Lihua [2 ]
Xiao Wendong [3 ]
机构：
[1] Sichuan Univ, Sch Math, Chengdu 610064, Sichuan, Peoples R China
[2] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
[3] Inst Infocomm Res, Singapore 138632, Singapore
来源：
PROCEEDINGS OF THE 29TH CHINESE CONTROL CONFERENCE | 2010年
基金：
中国国家自然科学基金;
关键词：
Random field estimation; NP-hard; Exchange algorithm quantization;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we study the sensor selection problem for random field estimation in sensor network. The combinatorial optimization problem of choosing sensor nodes to minimize the estimation error with bounded observation cost is proved NP-complete. Iterative algorithms is proposed to pursue the suboptimal solution for the sensor selection problem under the D-optimal criteria. Furthermore, the optimal estimator for the Gaussian random field with quantized measurements is proposed in the minimum error variance sense. Simulation results show the performance of our proposed algorithms.
引用
收藏
页码：6203 / 6208
页数：6
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