Mobile Access to Sensor Network: A Use Case on Wildfire Monitoring
Impacto
Scholar |
Otros documentos de la autoría: Trilles, Sergio; Belmonte-Fernández, Óscar; Huerta, Joaquin
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/43662
comunitat-uji-handle3:10234/159451
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http://dx.doi.org/10.1007/978-3-319-07593-8_34 |
Metadatos
Título
Mobile Access to Sensor Network: A Use Case on Wildfire MonitoringFecha de publicación
2014Editor
Springer International PublishingISBN
978-3-319-07592-1Cita bibliográfica
TRILLES, Sergio; BELMONTE, Óscar; HUERTA, Joaquín. Mobile Access to Sensor Network: A Use Case on Wildfire Monitoring. En Distributed Computing and Artificial Intelligence, 11th International Conference. Springer International Publishing, 2014. p. 287-294Tipo de documento
info:eu-repo/semantics/bookPartVersión de la editorial
http://link.springer.com/chapter/10.1007%2F978-3-319-07593-8_34Palabras clave / Materias
Resumen
These networks provide large volumes of data in many different formats, resolution and scales. The data are of different types and character: from meteorological conditions to air quality and the concentrations of ... [+]
These networks provide large volumes of data in many different formats, resolution and scales. The data are of different types and character: from meteorological conditions to air quality and the concentrations of pollutants due to human activity, such as transportation or other industry-related actions. The work in this paper aims at increasing the interoperability and improving accessibility of data provided by sensor networks. To address this problem Geographic Information System (GIS) services, such as the Sensor Observation Service (SOS), in conjunction with Representational State Transfer (RESTFul) architecture are used. A standard-based solution that increases interoperability is presented. It also allows for a better integration of data already published in different semi-structured formats in order to be used by various platforms (web or mobile).Finally, we apply this system in a use case as wildfire monitoring, so it offers determine the state of a wildfire. [-]
Descripción
DCAI’14. Salamanca, 4-6 June 2014
Publicado en
Distributed Computing and Artificial Intelligence, 11th International Conference (Advances in Intelligent Systems and Computing, v. 290), p. 287-294Derechos de acceso
© Springer International Publishing Switzerland 2014
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