Optimizing Arduino Programming for IoT Devices Using Quantum and AI Techniques
V. G. Ajay, S. Vagdevi, R. Vindhya, Shruti B. Hiregoudar, Smitha Sasi, Jyothi A. P. · Advances in computer and electrical engineering book series · 2024
The chapter discusses the utilization of advanced methodologies like Quantum Computing and AI in optimizing Arduino programming in IoT devices. The increasing popularity of IoT devices necessitates a growing need to enhance their performance and efficiency. It provides an in-depth explanation of the fundamental principles of Arduino programming and the challenges associated with IoT system programming.It then introduces Quantum Computing concepts, showing how quantum algorithms may resolve complex computational problems more efficiently than classical methods. In this respect, the chapter further goes into AI techniques, including machine learning and neural networks, to provide enhanced decision-making and prediction capabilities in IoT ecosystems. This chapter proposes a framework combining Quantum Computing and AI to optimize performance in IoT devices, demonstrating practical examples and combining them with Arduino-based systems.