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 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.

• Type: Conference
• Year: 2010
• Where: ICASSP
• Authors: Valentin Schwarz, Gerald Matz
• Keywords: Distributed Asynchronous Averaging, ICASSP 2010, Low-dimensional Subspace Model, Signal Processing, Wireless Sensor Networks