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The development of Internet of Things (IoT) has increased considerably over the years, as IoT networks bring together communication technologies to provide secure and flexible connectivity to numerous devices in several applications. Furthermore, the use of artificial intelligence (AI) techniques, notably machine learning, becomes of great interest to circumvent highly complex problems, such as the allocation of communication and energy resources, since data is massive and multidimensional in IoT networks. AI is nowadays one of the most innovative and most impactful technologies in the communication field and can be applied for efficient allocation of communication and energy resources in order to optimize them, mainly to reduce the inherent impacts of human action on the environment. The massive application of IoT networks implies not only an increase in energy consumption, but also in energy supply, which can impact our daily lives in the long term.
The general goal of project RAIN IOT is, therefore, to advance investigations related to the allocation of communication and energy resources for IoT networks, based on the use of AI techniques within a perspective that includes scientific, technological and innovative actions.
The specific aim of the institutions that take part in the project will be the deepening of skills related to IoT networks through the exchange and transfer of knowledge and interaction with the industry and academia. This will serve as a knowledge hub in order to foster improved technological advancements through the exchange of know-how and experiences. Ultimately, this will disseminate the advances in the field and promote partnerships with society to pursue technological and innovative actions.
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