Distributed reconstruction of time-varying spatial fields based on consensus propagation

This work deals with the distributed measurement and reconstruction of time-varying spatial fields using wireless sensor networks (WSN).We use basis functions to formulate a low-dimensional subspace model for the field and estimate the field coefficients using a suitably modified version of consensu...

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Main Authors: Schwarz, Valentin, Matz, Gerald
Format: Conference Proceeding
Language:English
Subjects:
Belief propagation
Bidirectional control
Broadcasting
Consensus propagation
Convergence
Distributed computing
distributed inference
field reconstruction
Inference algorithms
Message passing
Radio frequency
Topology
Wireless sensor networks
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Matz, Gerald
description This work deals with the distributed measurement and reconstruction of time-varying spatial fields using wireless sensor networks (WSN).We use basis functions to formulate a low-dimensional subspace model for the field and estimate the field coefficients using a suitably modified version of consensus propagation (CP), which is a distributed asynchronous averaging algorithm with favorable convergence. Simulation results confirm the excellent performance of the proposed method in static and dynamic environments.
doi_str_mv 10.1109/ICASSP.2010.5496161
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subjects Belief propagation
Bidirectional control
Broadcasting
Consensus propagation
Convergence
Distributed computing
distributed inference
field reconstruction
Inference algorithms
Message passing
Radio frequency
Topology
Wireless sensor networks
title Distributed reconstruction of time-varying spatial fields based on consensus propagation
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