IoT-AI/Machine Learning Experimental Testbeds: The Missing Piece

The Internet of Things (IoT) has emerged as an Internet-based extension and considerably changed our daily life. The integration of artificial intelligence (AI) and machine learning (ML) into IoT networks has the potential to enable automated responses and improved decision-making capabilities. Nonetheless, administering large IoT networks for experimental purposes is essential for addressing the practical and research implications of diverse AI/ML applications. One of the significant challenges researchers face is the scarcity of testbeds that support IoT and AI/ML. Although there are many testbeds for either IoT or AI/ML, few incorporate both technologies. This creates a significant gap in the research community, as there is a strong need for a testbed that can mimic real-world IoT scenarios while also having ML algorithms capabilities. In order to tackle this challenge, we put forth a comprehensive testbed architecture that combines the IoT and AI/ML. This architecture facilitates the simulation of authentic IoT scenarios, empowering researchers to leverage the ML capability to develop and enhance novel algorithms and applications.