SOM based multi-agent hydro meteorological data collection system

Gediminas Gricius, Darius Drungilas, Arunas Andziulis, Dale Dzemydiene, Miroslav Voznak

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The paper presents the possibilities of development the hydro meteoro- logical data collection system (HMDCS) involving advanced technologies such as multi agent based interaction and data collection between several monitoring system’s nodes (i.e. buoys) based on self-organizing maps (SOM). The require-ments for such system development are rather complex and are attached to allow-ing the real-time monitoring, control, and prediction of the negative consequences of contamination of surface water recourses and making their evaluation by effec-tiveness in monitoring of Baltic Sea surface water. The experiment is based on the design an inexpensive, but reliable Baltic Sea autonomous monitoring network (buoys), which would be able, continuously monitor and collect temperature, waviness, and other required data. Moreover, it makes ability to monitor all the data from the costal-based station with limited transition speed by setting different tasks for agent based buoy system according to the SOM.

Original languageEnglish
Title of host publicationNostradamus 2014: Prediction, Modeling and Analysis of Complex Systems
PublisherSpringer Verlag
Pages31-41
Number of pages11
Volume289
ISBN (Print)9783319074009
DOIs
Publication statusPublished - 2014
Externally publishedYes
EventInternational conference on prediction, modeling and analysis of complex systems, NOSTRADAMUS 2014 - Ostrava, Czech Republic
Duration: Jun 23 2012Jun 25 2012

Publication series

NameAdvances in Intelligent Systems and Computing
Volume289
ISSN (Print)21945357

Other

OtherInternational conference on prediction, modeling and analysis of complex systems, NOSTRADAMUS 2014
CountryCzech Republic
CityOstrava
Period6/23/126/25/12

Fingerprint

Self organizing maps
Buoys
Monitoring
Surface waters
Contamination
Experiments
Temperature

Keywords

  • Embedded systems
  • Hydro meteorological sensors
  • Multi agent systems
  • Wireless networking system

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Gricius, G., Drungilas, D., Andziulis, A., Dzemydiene, D., & Voznak, M. (2014). SOM based multi-agent hydro meteorological data collection system. In Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems (Vol. 289, pp. 31-41). (Advances in Intelligent Systems and Computing; Vol. 289). Springer Verlag. https://doi.org/10.1007/978-3-319-07401-6_4

SOM based multi-agent hydro meteorological data collection system. / Gricius, Gediminas; Drungilas, Darius; Andziulis, Arunas; Dzemydiene, Dale; Voznak, Miroslav.

Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems. Vol. 289 Springer Verlag, 2014. p. 31-41 (Advances in Intelligent Systems and Computing; Vol. 289).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Gricius, G, Drungilas, D, Andziulis, A, Dzemydiene, D & Voznak, M 2014, SOM based multi-agent hydro meteorological data collection system. in Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems. vol. 289, Advances in Intelligent Systems and Computing, vol. 289, Springer Verlag, pp. 31-41, International conference on prediction, modeling and analysis of complex systems, NOSTRADAMUS 2014, Ostrava, Czech Republic, 6/23/12. https://doi.org/10.1007/978-3-319-07401-6_4
Gricius G, Drungilas D, Andziulis A, Dzemydiene D, Voznak M. SOM based multi-agent hydro meteorological data collection system. In Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems. Vol. 289. Springer Verlag. 2014. p. 31-41. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-319-07401-6_4
Gricius, Gediminas ; Drungilas, Darius ; Andziulis, Arunas ; Dzemydiene, Dale ; Voznak, Miroslav. / SOM based multi-agent hydro meteorological data collection system. Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems. Vol. 289 Springer Verlag, 2014. pp. 31-41 (Advances in Intelligent Systems and Computing).
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