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A Cloud Computing Architecture for Spectrum Sensing as a Service

Publication type	Conference paper
Year of publication	2016
Authors	Giuseppe Baruffa, Mauro Femminella, Matteo Pergolesi, and Gianluca Reali
Title	A Cloud Computing Architecture for Spectrum Sensing as a Service
Conference name	International Conference on Cloudification of the Internet of Things (CIoT 16)
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Publisher	IEEE
Date	December 2016
Place	Paris, France
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ISBN number	978-1-5090-4960-8
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Abstract	The Internet of Things concept has revolutionized the way of using sensors and produced data. The interconnection of sensors to computing systems and to both storage infrastructures and processing facilities in a cloud fashion enables the paradigm of Sensing as a Service (S2aaS). In this paper, we propose a system architecture compliant with the S2aaS model, and detail it for a specific use case, the Spectrum Sensing as a Service (S3aaS). We illustrate the system components, including heterogeneous spectrum sensors, a distributed messaging system, a scheduler, a scalable database with a relevant SQL interface tool, and a user interface tool used to interact with the S3aaS system. Finally, we show the implementation of a proof-of-concept prototype used for assessing its effectiveness in operation.
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Paper	(portable document format, 1650344 Bytes)