Skip to main content
Article
Decentralized Random-Field Estimation for Sensor Networks Using Quantized Spatially Correlated Data and Fusion-Center Feedback
IEEE Transactions on Signal Processing
  • Aleksandar Dogandžić, Iowa State University
  • Kun Qiu, Iowa State University
Document Type
Article
Disciplines
Publication Date
12-1-2008
DOI
10.1109/TSP.2008.2005753
Abstract
In large-scale wireless sensor networks, sensor-processor elements (nodes) are densely deployed to monitor the environment; consequently, their observations form a random field that is highly correlated in space. We consider a fusion sensor-network architecture where, due to the bandwidth and energy constraints, the nodes transmit quantized data to a fusion center. The fusion center provides feedback by broadcasting summary information to the nodes. In addition to saving energy, this feedback ensures reliability and robustness to node and fusion-center failures. We assume that the sensor observations follow a linear-regression model with known spatial covariances between any two locations within a region of interest. We propose a Bayesian framework for adaptive quantization, fusion-center feedback, and estimation of the random field and its parameters. We also derive a simple suboptimal scheme for estimating the unknown parameters, apply our estimation approach to the no-feedback scenario, discuss field prediction at arbitrary locations within the region of interest, and present numerical examples demonstrating the performance of the proposed methods.
Comments

This is a post-print of an article from IEEE Transactions on Signal Processing 56 (2008): 6069–6085, doi:10.1109/TSP.2008.2005753. Posted with permission.

Copyright Owner
IEEE
Language
en
File Format
application/pdf
Citation Information
Aleksandar Dogandžić and Kun Qiu. "Decentralized Random-Field Estimation for Sensor Networks Using Quantized Spatially Correlated Data and Fusion-Center Feedback" IEEE Transactions on Signal Processing Vol. 56 Iss. 12 (2008) p. 6069 - 6085
Available at: http://works.bepress.com/aleksandar_dogandzic/9/