A cloud computing architecture for spectrum sensing as a service

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.