@inproceedings{8f4f784ba45e45d3a5c8829f2bcf9e66,
title = "Environmental field estimation by consensus based dynamic sensor networks and underwater gliders",
abstract = "A coordinated dynamic sensor network of autonomous underwater gliders to estimate 3D time-varying environmental fields is proposed and tested. Each sensor performs local Kalman filter sequential field estimation. A network of surface relay nodes and asynchronous consensus are used to distribute local information among all nodes so that they can converge to an estimate of the global field. Tests using data from real oceanographic forecast models demonstrate the feasibility of the approach with relative error performance within 10\%.",
keywords = "Sensor networks, autonomous underwater vehicles, consensus, distributed estimation",
author = "Raffaele Grasso and Paolo Braca and Stefano Fortunati and Fulvio Gini and Greco, \{Maria S.\}",
note = "Publisher Copyright: {\textcopyright} 2015 EURASIP.; 23rd European Signal Processing Conference, EUSIPCO 2015 ; Conference date: 31-08-2015 Through 04-09-2015",
year = "2015",
month = dec,
day = "22",
doi = "10.1109/EUSIPCO.2015.7362374",
language = "English",
series = "2015 23rd European Signal Processing Conference, EUSIPCO 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "205--209",
booktitle = "2015 23rd European Signal Processing Conference, EUSIPCO 2015",
}