2014
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.