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Inventi Impact - Distributed Sensor Networks

Articles

  • Inventi:edsn/61/14
    TOWARDS AN ENVIRONMENTAL MEASUREMENT CLOUD: DELIVERING POLLUTION AWARENESS TO THE PUBLIC
    Federico Dominguez, Nguyen The Cuong, Dimitri Cariolaro, Abdellah Touhafi, Kris Steenhaut, Samuel Dauwe,Bart Dhoedt, Dick Botteldooren

    Geosensor networks and sensor webs are two technologies widely used for determining our exposure to pollution levels and ensuring that this information is publicly available. However, most of these networks are independent from each other and often designed for specific domains, hindering the integration of sensor data from different sources. We contributed to the integration of several environmental sensor networks in the context of the IDEA project. The objective of this project was to measure noise and air quality pollution levels in urban areas in Belgium using low-cost sensors. This paper presents the IDEA Environmental Measurement Cloud as a proof-of-conceptData-as-a-Service (DaaS) cloud platformthat integrates environmental sensor networks with a sensor web. Our DaaS platform implements a federated two-layer architecture to loosely couple together sensor networks deployed over a wide geographical area with web services. It offers several data access, discovery, and visualization services to the public while serving as a scientific tool for noise pollution research. After one year of operation, it hosts approximately 6.5 TB of environmental data and offers to the public near real-time noise pollution measurements from over 40 locations in Belgium.

    How to Cite this Article
    CC Compliant Citation: Federico Domínguez, Samuel Dauwe, Nguyen The Cuong, et al., “Towards an Environmental Measurement Cloud: Delivering Pollution Awareness to the Public,” International Journal of Distributed Sensor Networks, vol. 2014, Article ID 541360, 17 pages, 2014. doi:10.1155/2014/541360 Copyright © 2014 Federico Domínguez et al. This is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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