Martins Dias G, Borges Margi C, de Oliveira FCP, Bellalta B. Cloud-Empowered, Self-Managing Wireless Sensor Networks: Interconnecting Management Operations at the Application Layer. IEEE Consumer Electronics Magazine
We develop a large number of software tools and hosting infrastructures to support the research developed at the Department. We will be detailing in this section the different tools available. You can take a look for the moment at the offer available within the UPF Knowledge Portal, the innovations created in the context of EU projects in the Innovation Radar and the software sections of some of our research groups:
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Artificial Intelligence |
Nonlinear Time Series Analysis |
Web Research |
Music Technology |
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Interactive Technologies |
Barcelona MedTech |
Natural Language Processing |
Nonlinear Time Series Analysis |
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UbicaLab |
Wireless Networking |
Educational Technologies |
Martins Dias G, Borges Margi C, de Oliveira FCP, Bellalta B. Cloud-Empowered, Self-Managing Wireless Sensor Networks: Interconnecting Management Operations at the Application Layer. IEEE Consumer Electronics Magazine
Martins Dias G, Borges Margi C, de Oliveira FCP, Bellalta B. Cloud-Empowered, Self-Managing Wireless Sensor Networks: Interconnecting Management Operations at the Application Layer. IEEE Consumer Electronics Magazine
This article discusses the design and implementation of a scalable system architecture that integrates wireless sensor networks (WSNs) into the Internet of Things (IoT) and exploits cloud services to autonomously configure wireless sensor nodes to measure and transmit sensed data only at periods when the environment changes more often. The implementation relies on software-defined networking (SDN) features to simplify WSN management and exploits the power of existing cloud computing platforms to execute a reinforcement learning algorithm that makes decisions based on the environment's evolution.