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Online EM-based distributed estimation in sensor networks with faulty nodes

Author
Gimenez, P.; Pagès-Zamora, A.; López, R.
Type of activity
Presentation of work at congresses
Name of edition
24th European Signal Processing Conference
Date of publication
2016
Presentation's date
2016-08-30
Book of congress proceedings
2016 24th European Signal Processing Conference (EUSIPCO): took place 28 August-2 September 2016 in Budapest, Hungary
First page
175
Last page
179
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/EUSIPCO.2016.7760233 Open in new window
Repository
http://hdl.handle.net/2117/100608 Open in new window
Abstract
This paper focuses on the problem of the distributed estimation of a parameter vector based on noisy observations regularly acquired by the nodes of a wireless sensor network and assuming that some of the nodes have faulty sensors. We propose two online schemes, both centralized and distributed, based on the Expectation-Maximization (EM) algorithm. These algorithms are able to identify and disregard the faulty nodes, and provide a refined estimate of the parameters each time instant after a new ...
Citation
Gimenez, P., Pages, A., López, R. Online EM-based distributed estimation in sensor networks with faulty nodes. A: European Signal Processing Conference. "2016 24th European Signal Processing Conference (EUSIPCO)". Budapest: Institute of Electrical and Electronics Engineers (IEEE), 2016, p. 175-179.
Keywords
Distributed estimation, Online expectation-maximization algorithms, Sensor networks
Group of research
CCABA - Advanced Broadband Communications Center
SPCOM - Signal Processing and Communications Group

Participants

  • Gimenez Febrer, Pedro Juan  (author and speaker )
  • Pages Zamora, Alba Maria  (author and speaker )
  • López Valcarce, Roberto  (author and speaker )