Estimating a Random Field in Sensor Networks Using Quantized Spatially Correlated Data

被引:2
作者
Dogandzic, Aleksandar [1 ]
Qiu, Kun [1 ]
机构
[1] Iowa State Univ, ECpE Dept, Ames, IA 50011 USA
来源
2008 42ND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, VOLS 1-4 | 2008年
关键词
D O I
10.1109/ACSSC.2008.5074769
中图分类号
TP39 [计算机的应用];
学科分类号
081203 [计算机应用技术]; 0835 [软件工程];
摘要
We consider a fusion sensor-network architecture where sensor-processor elements (nodes) observe a spatially correlated random field within a region of interest and transmit quantized observations to a fusion center. The fusion center provides feedback by broadcasting summary information to the nodes. We assume that the observations follow a linear-regression model with known field correlations and propose a Bayesian framework for adaptive quantization, fusion-center feedback, and estimation of the field and its parameters. We consider local quantile and Lloyd-Max quantizers at the nodes; both quantization schemes are based on approximate predictive measurement distributions, constructed using the feedback information from the fusion center. We also apply our estimation approach to the no-feedback scenario and present numerical examples demonstrating the performance of the proposed methods.
引用
收藏
页码:1943 / 1947
页数:5
相关论文
共 11 条
[1]
APPADWEDULA S, 2005, IEEE J SEL AREA COMM, V23, P1362
[2]
Decentralized Random-Field Estimation for Sensor Networks Using Quantized Spatially Correlated Data and Fusion-Center Feedback [J].
Dogandzic, Aleksandar ;
Qiu, Kun .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2008, 56 (12) :6069-6085
[3]
GERSHO A, 1994, VECTOR QUANTIZATION
[4]
Guestrin C, 2004, IPSN '04: THIRD INTERNATIONAL SYMPOSIUM ON INFORMATION PROCESSING IN SENSOR NETWORKS, P1
[5]
Haining R. P., 2003, Spatial Data Analysis: Theory and Practice
[6]
KISIALIOU M, 2006, P EUSIPCO FLOR IT SE
[7]
KRASNOPEEV A, 2005, EURASIP J WIREL COMM, V4, P473
[8]
Distributed compression in a dense microsensor network [J].
Pradhan, SS ;
Kusuma, J ;
Ramchandran, K .
IEEE SIGNAL PROCESSING MAGAZINE, 2002, 19 (02) :51-60
[9]
Bandwidth-constrained distributed estimation for wireless sensor networks - Part II: Unknown probability density function [J].
Ribeiro, Alejandro ;
Giannakis, Georgios B. .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2006, 54 (07) :2784-2796
[10]
SARWATE AD, 2005, P 39 ANN C INF SCI S