2017
Trilles-Oliver, Sergio; Calia, Andrea; Belmonte, Óscar; Torres-Sospedra, Joaquín; Montoliu, Raul; and, Joaquín Huerta-Guijarro
Deployment of an open sensorized platform in a smart city context Journal Article
In: Future Generation Computer Systems, vol. 76, pp. 221-233, 2017, ISSN: 0167-739X.
Abstract | Links | BibTeX | Tags: environmental monitoring, GEOEvent, GIScience, Internet of things, Open-hardware, senviro, Smart Cities
@article{Trilles2017,
title = {Deployment of an open sensorized platform in a smart city context },
author = {Sergio Trilles-Oliver and Andrea Calia and Óscar Belmonte and Joaquín Torres-Sospedra and Raul Montoliu and Joaquín Huerta-Guijarro and
},
doi = {http://dx.doi.org/10.1016/j.future.2016.11.005},
issn = {0167-739X},
year = {2017},
date = {2017-02-28},
journal = {Future Generation Computer Systems},
volume = {76},
pages = {221-233},
abstract = {The race to achieve smart cities is producing a continuous effort to adapt new developments and knowledge, for administrations and citizens. Information and Communications Technology are called on to be one of the key players to get these cities to use smart devices and sensors (Internet of Things) to know at every moment what is happening within the city, in order to make decisions that will improve the management of resources. The proliferation of these “smart things” is producing significant deployment of networks in the city context. Most of these devices are proprietary solutions, which do not offer free access to the data they provide. Therefore, this prevents the interoperability and compatibility of these solutions in the current smart city developments.
This paper presents how to embed an open sensorized platform for both hardware and software in the context of a smart city, more specifically in a university campus. For this integration, GIScience comes into play, where it offers different open standards that allow full control over “smart things” as an agile and interoperable way to achieve this. To test our system, we have deployed a network of different sensorized platforms inside the university campus, in order to monitor environmental phenomena.},
keywords = {environmental monitoring, GEOEvent, GIScience, Internet of things, Open-hardware, senviro, Smart Cities},
pubstate = {published},
tppubtype = {article}
}
The race to achieve smart cities is producing a continuous effort to adapt new developments and knowledge, for administrations and citizens. Information and Communications Technology are called on to be one of the key players to get these cities to use smart devices and sensors (Internet of Things) to know at every moment what is happening within the city, in order to make decisions that will improve the management of resources. The proliferation of these “smart things” is producing significant deployment of networks in the city context. Most of these devices are proprietary solutions, which do not offer free access to the data they provide. Therefore, this prevents the interoperability and compatibility of these solutions in the current smart city developments.
This paper presents how to embed an open sensorized platform for both hardware and software in the context of a smart city, more specifically in a university campus. For this integration, GIScience comes into play, where it offers different open standards that allow full control over “smart things” as an agile and interoperable way to achieve this. To test our system, we have deployed a network of different sensorized platforms inside the university campus, in order to monitor environmental phenomena.
This paper presents how to embed an open sensorized platform for both hardware and software in the context of a smart city, more specifically in a university campus. For this integration, GIScience comes into play, where it offers different open standards that allow full control over “smart things” as an agile and interoperable way to achieve this. To test our system, we have deployed a network of different sensorized platforms inside the university campus, in order to monitor environmental phenomena.
Trilles-Oliver, Sergio; Belmonte-Fernández, Óscar; Schade, Sven; Huerta-Guijarro, Joaquín
A domain-independent methodology to analyze IoT data streams in real-time. A proof of concept implementation for anomaly detection from environmental data Journal Article
In: International Journal of Digital Earth, vol. 10, no. 1, pp. 103-120, 2017, ISSN: 1753-8947.
Abstract | BibTeX | Tags: environmental monitoring, Internet of things, Real time analysis, real-time sensor streams
@article{TrillesOliver16,
title = {A domain-independent methodology to analyze IoT data streams in real-time. A proof of concept implementation for anomaly detection from environmental data},
author = { Sergio Trilles-Oliver and Óscar Belmonte-Fernández and Sven Schade and Joaquín Huerta-Guijarro},
issn = {1753-8947},
year = {2017},
date = {2017-01-01},
journal = {International Journal of Digital Earth},
volume = {10},
number = {1},
pages = {103-120},
abstract = {Pushed by the Internet of Things (IoT) paradigm modern sensor networks monitor a wide range of phenomena, in areas such as environmental monitoring, health care, industrial processes, and smart cities. These networks provide a continuous pulse of the almost infinite activities that are happening in the physical space and are thus, key enablers for a Digital Earth Nervous System. Nevertheless, the rapid processing of these sensor data streams still continues to challenge traditional data handling solutions and new approaches are being requested. We propose a generic answer to this challenge, which has the potential to support any form of distributed real-time analysis. This neutral methodology follows a brokering approach to work with different kinds of data sources and uses web-based standards to achieve interoperability. As a proof of concept, we implemented the methodology to detect anomalies in real-time and applied it to the area of environmental monitoring. The developed system is capable of detecting anomalies, generating notifications, and displaying the recent situation to the user.},
keywords = {environmental monitoring, Internet of things, Real time analysis, real-time sensor streams},
pubstate = {published},
tppubtype = {article}
}
Pushed by the Internet of Things (IoT) paradigm modern sensor networks monitor a wide range of phenomena, in areas such as environmental monitoring, health care, industrial processes, and smart cities. These networks provide a continuous pulse of the almost infinite activities that are happening in the physical space and are thus, key enablers for a Digital Earth Nervous System. Nevertheless, the rapid processing of these sensor data streams still continues to challenge traditional data handling solutions and new approaches are being requested. We propose a generic answer to this challenge, which has the potential to support any form of distributed real-time analysis. This neutral methodology follows a brokering approach to work with different kinds of data sources and uses web-based standards to achieve interoperability. As a proof of concept, we implemented the methodology to detect anomalies in real-time and applied it to the area of environmental monitoring. The developed system is capable of detecting anomalies, generating notifications, and displaying the recent situation to the user.
2012
Tamayo-Fong, Alain; Granell-Canut, Carlos; Huerta-Guijarro, Joaquín
Using SWE Standards for Ubiquitous Environmental Sensing: A Performance Analysis Journal Article
In: Sensors, vol. 12, pp. 12026–12051, 2012, ISSN: 1424-8220, (IF: 1.939, Q1).
Abstract | Links | BibTeX | Tags: environmental monitoring, GEOCLOUD, OSMOSIS, Sensors, Standards
@article{TamayoFong2012a,
title = {Using SWE Standards for Ubiquitous Environmental Sensing: A Performance Analysis},
author = { Alain Tamayo-Fong and Carlos Granell-Canut and Joaquín Huerta-Guijarro},
url = {http://hdl.handle.net/10234/62253},
doi = {10.3390/s120912026},
issn = {1424-8220},
year = {2012},
date = {2012-08-01},
journal = {Sensors},
volume = {12},
pages = {12026--12051},
abstract = {Although smartphone applications represent the most typical data consumer tool from the citizen perspective in environmental applications, they can also be used for in-situ data collection and production in varied scenarios, such as geological sciences and biodiversity. The use of standard protocols, such as SWE, to exchange information between smartphones and sensor infrastructures brings benefits such as interoperability and scalability, but their reliance on XML is a potential problem when large volumes of data are transferred, due to limited bandwidth and processing capabilities on mobile phones. In this article we present a performance analysis about the use of SWE standards in smartphone applications to consume and produce environmental sensor data, analysing to what extent the performance problems related to XML can be alleviated by using alternative uncompressed and compressed formats.},
note = {IF: 1.939, Q1},
keywords = {environmental monitoring, GEOCLOUD, OSMOSIS, Sensors, Standards},
pubstate = {published},
tppubtype = {article}
}
Although smartphone applications represent the most typical data consumer tool from the citizen perspective in environmental applications, they can also be used for in-situ data collection and production in varied scenarios, such as geological sciences and biodiversity. The use of standard protocols, such as SWE, to exchange information between smartphones and sensor infrastructures brings benefits such as interoperability and scalability, but their reliance on XML is a potential problem when large volumes of data are transferred, due to limited bandwidth and processing capabilities on mobile phones. In this article we present a performance analysis about the use of SWE standards in smartphone applications to consume and produce environmental sensor data, analysing to what extent the performance problems related to XML can be alleviated by using alternative uncompressed and compressed formats.