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.
TRILLES Sergi;
BELMONTE Oscar;
SCHADE Sven;
HUERTA Joaquin;
2016-12-01
TAYLOR & FRANCIS LTD
JRC102378
1753-8947,
http://www.tandfonline.com/doi/full/10.1080/17538947.2016.1209583,
https://publications.jrc.ec.europa.eu/repository/handle/JRC102378,
10.1080/17538947.2016.1209583,
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