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 A Framework for Flexible Sensor Information Dissemination
Please use this identifier to cite or link to this item http://hdl.handle.net/10773/8494

title: A Framework for Flexible Sensor Information Dissemination
authors: Corujo, Daniel
Lebre, Marcelo
Gomes, Diogo
Aguiar, Rui Luis
keywords: IoT
M2M
Media Independent
Sensors
issue date: Jun-2011
publisher: IEEE
abstract: The integration of the digital world into every aspect of our lives is becoming more and more preeminent. Nowadays, not only humans but also devices and the environments where we dwell are also able to provide their own information, through the usage of sensors. Through their interconnection over communication networks, sensors enable Ambient Intelligent scenarios achieving a true Internet of Things, and crossing the gap between computer systems and the real world. However, the different sensing devices and information generated by them, are of such disparate nature that it becomes increasingly difficult to access and make use of such heterogeneous data. In this paper, we propose a framework which not only considers a media independent information access to sensors and their supplied data, but is also flexible enough to configure and provide different means to best transport collected sensor information via wireless gateways, facilitating its deployment in different scenarios. We demonstrate its usefulness by providing a throughput efficient approach towards the collection and dissemination of sensing data, through sensing information compression and aggregation of multiple sources.
URI: http://hdl.handle.net/10773/8494
ISBN: 978-1-4577-0511-3
publisher version/DOI: http://dx.doi.org/10.1109/DCOSS.2011.5982210
source: DCOSS 2011: International Conference on Distributed Computing in Sensor Systems and Workshops
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