Consensus for the distributed estimation of point diffusion sources in sensor networks

In this contribution, we implement a fully distributed diffusion field estimation algorithm based on the use of average consensus schemes. We show that the field reconstruction problem is equivalent to estimating the sources of the field, and then derive an exact inversion formula for jointly recove...

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Bibliographic Details
Published in:2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 3262 - 3266
Main Authors: Murray-Bruce, John, Dragotti, Pier Luigi
Format: Conference Proceeding
Language:English
Published: IEEE 01.04.2015
Subjects:
Conferences
consensus
diffusion fields
distributed averaging
Estimation
Noise measurement
Robustness
Sensor networks
Sensors
Signal processing
Spatiotemporal phenomena
spatiotemporal sampling and reconstruction
ISSN:1520-6149
Online Access:Get full text
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Summary:In this contribution, we implement a fully distributed diffusion field estimation algorithm based on the use of average consensus schemes. We show that the field reconstruction problem is equivalent to estimating the sources of the field, and then derive an exact inversion formula for jointly recovering these sources when they are localized and instantaneous. Next we adapt this formula to the sensor network setting when only spatiotemporal samples of the field are available, and only local interactions between the sensors are allowed. To this end, we propose a robust distributed algorithm for reconstructing two-dimensional diffusion fields, sampled with a network of arbitrarily placed sensors. The proposed distributed algorithm is validated through numerical simulations in the noisy, multiple source setting.
ISSN:1520-6149
DOI:10.1109/ICASSP.2015.7178574