2014
Ramos-Romero, Francisco; Monfort-Muriach, Aida; Huerta-Guijarro, Joaquín
A Location Aware Mobile Tool for Direct and Indirect Climate Data Sensors Journal Article
In: Transactions in GIS, vol. 18, no. 3, pp. 385-400, 2014, ISSN: 1361-1682, (IF: 1.398, Q2).
Abstract | Links | BibTeX | Tags: CIUDADES-SALUDABLES, meteorological sensors, Sensors
@article{RamosRomero2014,
title = {A Location Aware Mobile Tool for Direct and Indirect Climate Data Sensors},
author = { Francisco Ramos-Romero and Aida Monfort-Muriach and Joaquín Huerta-Guijarro},
url = {http://hdl.handle.net/10234/125826},
doi = {10.1111/tgis.12097},
issn = {1361-1682},
year = {2014},
date = {2014-01-01},
journal = {Transactions in GIS},
volume = {18},
number = {3},
pages = {385-400},
abstract = {Access to GIS data from mobile platforms continues to be a challenge and there is a wide range of fields where it is extremely useful. In this work, we combined three key aspects: climate data sensors, mobile platforms and spatial proximity operations. We published and made use of a web 2.0 network of climate data, where content is user-collected, by means of their meteorological stations, and exposed as available information for the virtual community. Moreover, we enriched this data by giving the users the opportunity to directly inform the system with different climate measures. In general, management of this type of information from a mobile application could result in an important decision tool, as it enables us to provide climate-related data according to a context and a geographical location. Therefore, we implemented a native mobile application for iPhone and iPad platforms by using ArcGIS SDK for iOS and by integrating a series of ArcGIS webmaps, which allows us to perform geospatial queries based on the user's location, offering, at the same time, access to all the data provided by the climate data sensor network and from direct users.},
note = {IF: 1.398, Q2},
keywords = {CIUDADES-SALUDABLES, meteorological sensors, Sensors},
pubstate = {published},
tppubtype = {article}
}
Access to GIS data from mobile platforms continues to be a challenge and there is a wide range of fields where it is extremely useful. In this work, we combined three key aspects: climate data sensors, mobile platforms and spatial proximity operations. We published and made use of a web 2.0 network of climate data, where content is user-collected, by means of their meteorological stations, and exposed as available information for the virtual community. Moreover, we enriched this data by giving the users the opportunity to directly inform the system with different climate measures. In general, management of this type of information from a mobile application could result in an important decision tool, as it enables us to provide climate-related data according to a context and a geographical location. Therefore, we implemented a native mobile application for iPhone and iPad platforms by using ArcGIS SDK for iOS and by integrating a series of ArcGIS webmaps, which allows us to perform geospatial queries based on the user's location, offering, at the same time, access to all the data provided by the climate data sensor network and from direct users.
Trilles-Oliver, Sergio; Belmonte-Fernández, Óscar; Díaz-Sánchez, Laura; Huerta-Guijarro, Joaquín
Agile access to sensor network Proceedings Article
In: Huerta-Guijarro, Joaquín; Schade, Sven; Granell-Canut, Carlos (Ed.): 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, AGILE Digital Editions, 2014, ISBN: 978-90-816960-4-3.
Abstract | Links | BibTeX | Tags: Air quality sensors, heterogeneous sensor sources, meteorological sensors, restful services, sensor observation services
@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}
}
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.
Trilles-Oliver, Sergio; Belmonte-Fernández, Óscar; Huerta-Guijarro, Joaquín
Mobile Access to Sensor Network: A Use Case on Wildfire Monitoring Proceedings Article
In: Omatu, S.; Bersini, H.; Corchado, JM; Rodriguez, S.; Pawlewski, P.; Bucciarelli, E. (Ed.): DCAI 2014: 11th International Symposium on Distributed Computing and Artificial Intelligence, Salamanca, Spain, JUN 04-06, 2014, pp. 287-294, SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY, 2014, ISSN: 2194-5357.
Abstract | Links | BibTeX | Tags: Air quality sensors, CITYBENCH, forest fire, meteorological sensors, Sensor networks, Sensors
@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}
}
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.
Trilles-Oliver, Sergio; Belmonte-Fernández, Óscar; Díaz-Sánchez, Laura; Huerta-Guijarro, Joaquín
Mobile Access to Sensor Networks by Using GIS Standards and RESTful Services Journal Article
In: IEEE Sensors Journal, vol. 14, no. 12, pp. 4143–4153, 2014, ISSN: 1530-437X, (IF: 1.762, Q2).
Abstract | Links | BibTeX | Tags: Air quality sensors, Geographic Information Systems (GIS), interoperability, meteorological sensors, RESTFul, sensor observation services, Standards
@article{TrillesOliver2014,
title = {Mobile Access to Sensor Networks by Using GIS Standards and RESTful Services},
author = { Sergio Trilles-Oliver and Óscar Belmonte-Fernández and Laura Díaz-Sánchez and Joaquín Huerta-Guijarro},
url = {http://hdl.handle.net/10234/145376},
doi = {10.1109/JSEN.2014.2339931},
issn = {1530-437X},
year = {2014},
date = {2014-01-01},
journal = {IEEE Sensors Journal},
volume = {14},
number = {12},
pages = {4143--4153},
abstract = {There is an increasing deployment of sensor networks that measure the physical state of the environment. These networks provide large volumes of data in many different formats, resolutions, and scales. There are different types and character of data: from meteorological conditions to air quality and the concentrations of pollutants due to human activity, such as transportation or other industry-related actions. Current sensor networks publish this data in different formats. This implies not offering standard access to different data sources. These varieties of formats lead to an interoperability problem. Also, access to these sources is not fast and agile; it prevents access through mobile devices. The work in this paper aims at increasing the interoperability and improving accessibility of data provided by sensor networks. In this way, these 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 services, such as the sensor observation service, in conjunction with representational state transfer architecture are used. A standard-based solution that increases interoperability is presented. It also allows a better integration of data that has already been published in different semistructured 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. Finally, to illustrate how to use these services, a mobile application that shows the hot-spots following air quality index has been developed},
note = {IF: 1.762, Q2},
keywords = {Air quality sensors, Geographic Information Systems (GIS), interoperability, meteorological sensors, RESTFul, sensor observation services, Standards},
pubstate = {published},
tppubtype = {article}
}
There is an increasing deployment of sensor networks that measure the physical state of the environment. These networks provide large volumes of data in many different formats, resolutions, and scales. There are different types and character of data: from meteorological conditions to air quality and the concentrations of pollutants due to human activity, such as transportation or other industry-related actions. Current sensor networks publish this data in different formats. This implies not offering standard access to different data sources. These varieties of formats lead to an interoperability problem. Also, access to these sources is not fast and agile; it prevents access through mobile devices. The work in this paper aims at increasing the interoperability and improving accessibility of data provided by sensor networks. In this way, these 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 services, such as the sensor observation service, in conjunction with representational state transfer architecture are used. A standard-based solution that increases interoperability is presented. It also allows a better integration of data that has already been published in different semistructured 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. Finally, to illustrate how to use these services, a mobile application that shows the hot-spots following air quality index has been developed
2013
Trilles-Oliver, Sergio; Díaz-Sánchez, Laura; Huerta-Guijarro, Joaquín
Acceso ágil a redes de sensores: un estudio de caso de monitorización de datos de calidad del aire y meteorológicos Proceedings Article
In: JIDEE 2013: IV Jornadas ibéricas de infraestructuras de datos espaciales. Toledo, Noviembre 2013, Toledo, 2013.
Abstract | Links | BibTeX | Tags: Air quality sensors, CITYBENCH, Internet of things, Internet of things, meteorological sensors, Sensors
@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}
}
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