CB-24 Optimizing Energy Harvesting in IoT Networks through GenAI-Driven AIoT Systems

Internet of Things (IoT) devices are commonly powered by compact batteries with limited capacity, requiring frequent recharging or replacements. Conventional energy supply methods, such as battery changes or wired connections, are often impractical and labor-intensive. To reduce costs and ensure uninterrupted connectivity in IoT networks, energy harvesting technologies offer a promising solution. These technologies capture energy from the surrounding environment to power devices or store it for future use, providing a sustainable alternative for IoT networks. This project aims to design and develop GenAI-based smart Artificial Intelligence of Things (AIoT) system to optimize energy harvesting in wireless networks. By utilizing Age of Information (AoI), we plan to enhance real-time data analysis and decision-making within IoT networks, ensuring efficient collection of up-to-date information from IoT devices. Additionally, we will develop GenAI-driven models and algorithms to tackle the challenges of energy harvesting in IoT networks.