@inproceedings{TrillesOliver2014a,

title = {Agile access to sensor network},

author = {Sergio Trilles-Oliver and Óscar Belmonte-Fernández and Laura Díaz-Sánchez and Joaquín Huerta-Guijarro},

editor = {Joaquín Huerta-Guijarro and Sven Schade and Carlos Granell-Canut},

url = {http://hdl.handle.net/10234/99492},

isbn = {978-90-816960-4-3},

year  = {2014},

date = {2014-01-01},

booktitle = {Connecting a Digital Europe through Location and Place. Selected best short papers and posters of the AGILE 2014 Conference, 03-06 June 2014, Castellón, Spain},

publisher = {AGILE Digital Editions},

abstract = {The work in this paper aims at increasing the interoperability and improving accessibility of data provided by sensor networks. This way, this data can be employed by different devices and with diverse context requirements, such as specific location and time. 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). Furthermore, this system adds value to original sensor data in order to assist in the decision making process.},

keywords = {Air quality sensors, heterogeneous sensor sources, meteorological sensors, restful services, sensor observation services},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{ISI:000342905800034,

title = {Mobile Access to Sensor Network: A Use Case on Wildfire Monitoring},

author = {Sergio Trilles-Oliver and Óscar Belmonte-Fernández and Joaquín Huerta-Guijarro},

editor = {S. Omatu and H. Bersini and JM Corchado and S. Rodriguez and P. Pawlewski and E. Bucciarelli},

url = {http://hdl.handle.net/10234/160364},

doi = {10.1007/978-3-319-07593-8_34},

issn = {2194-5357},

year  = {2014},

date = {2014-01-01},

booktitle = {DCAI 2014: 11th International Symposium on Distributed Computing and Artificial Intelligence, Salamanca, Spain, JUN 04-06, 2014},

volume = {290},

pages = {287-294},

publisher = {SPRINGER-VERLAG BERLIN},

address = {HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY},

series = {Advances in Intelligent Systems and Computing},

abstract = {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.},

keywords = {Air quality sensors, CITYBENCH, forest fire, meteorological sensors, Sensor networks, Sensors},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{TrillesOliver2013a,

title = {Acceso ágil a redes de sensores: un estudio de caso de monitorización de datos de calidad del aire y meteorológicos},

author = {Sergio Trilles-Oliver and Laura Díaz-Sánchez and Joaquín Huerta-Guijarro },

url = {http://hdl.handle.net/10234/160211},

year  = {2013},

date = {2013-01-01},

booktitle = {JIDEE 2013: IV Jornadas ibéricas de infraestructuras de datos espaciales. Toledo, Noviembre 2013},

address = {Toledo},

abstract = {En el presente trabajo se pretende incrementar la interoperabilidad y accesibilidad de estos datos para que los usuarios puedan utilizarlos en diferentes escenarios y con variedad de necesidades dependiendo del lugar y tiempo específico. El objetivo deriva en la publicación de estos tipos de datos ambientales y facilitando el acceso a ellos, mediante servicios que proporcionan una entrada estructurada para el consumo en dispositivos ligeros, como los teléfonos móviles},

keywords = {Air quality sensors, CITYBENCH, Internet of things, Internet of things, meteorological sensors, Sensors},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{TrillesOliver2012a,

title = {Monitorización de datos de calidad de aire},

author = {Sergio Trilles-Oliver and Laura Díaz-Sánchez and Joaquín Huerta-Guijarro},

url = {http://hdl.handle.net/10234/160173},

year  = {2012},

date = {2012-01-01},

booktitle = {JIDEE 2012: III Jornadas Ibéricas de las infraestructuras de datos espaciales. Madrid, Octubre 2012},

abstract = {Cada vez más somos testigos del despliegue de redes de sensores que miden el estado del entorno en el que vivimos. Estas redes aportan grandes volúmenes de información en formatos y escalas muy diversas. Encontramos ejemplos de datos de diversa naturaleza, desde condiciones climáticas, hasta concentraciones de elementos contaminantes debido a la actividad humana como el transporte, y la industria. En este trabajo describimos como la publicación de estos datos mediante servicios que proporcionen un acceso estructurado y basado en estándares permite una mejor integración de estos datos, tanto para su visualización desde diversas plataformas (web o móvil) como para su consumo mediante procesos de análisis que permitan extraer valor añadido y asistir en la toma de decisiones. Uno de los principales objetivos es incrementar la interoperabilidad de acceso a estos datos y que un usuario a través de diferentes dispositivos pueda conocer en tiempo real las condiciones de una ubicación concreta},

keywords = {Air quality sensors, Sensors, Spatial Data Infrastructures (SDI)},

pubstate = {published},

tppubtype = {inproceedings}

}