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Parameter estimation in wireless sensor networks with faulty transducers: a distributed EM approach

Author
Silva, S.; López, R.; Pagès-Zamora, A.
Type of activity
Journal article
Journal
Signal processing
Date of publication
2018-03-01
Volume
144
First page
226
Last page
237
DOI
https://doi.org/10.1016/j.sigpro.2017.10.012 Open in new window
Project funding
Distributed techniques for the management and operation of wireless cellular networks, sensor networks and the smart energy grid
Red COMONSENS
TEC2016-75067-C4-2-R - CARMEN
Repository
http://hdl.handle.net/2117/112095 Open in new window
URL
https://www.sciencedirect.com/science/article/pii/S0165168417303717 Open in new window
Abstract
We address the problem of distributed estimation of a vector-valued parameter performed by a wireless sensor network in the presence of noisy observations which may be unreliable due to faulty transducers. The proposed distributed estimator is based on the Expectation-Maximization (EM) algorithm and combines consensus and diffusion techniques: a term for information diffusion is gradually turned off, while a term for updated information averaging is turned on so that all nodes in the network app...
Citation
Silva, S., López, R., Pages, A. Parameter estimation in wireless sensor networks with faulty transducers: a distributed EM approach. "Signal processing", 1 Març 2018, vol. 144, p. 226-237.
Keywords
Consensus averaging, Diffusion strategies, Distributed estimation, Expectation-maximization, Maximum-likelihood, Soft detection, Wireless sensor networks.
Group of research
SPCOM - Signal Processing and Communications Group

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