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Battery Life Optimization in IoT Systems by International Journal of Applied Power Engineering is a document available to read on EtoBox.

What is Battery Life Optimization in IoT Systems about?

This research paper presents an innovative energy harvesting system for IoT devices that combines batteries and capacitors to optimize energy usage and extend battery life. It employs a reinforcement learning algorithm to manage energy storage dynamically and utilizes a rainflow counting method to assess battery health. The proposed system aims to enhance the efficiency and performance of wireless communication in IoT applications by adapting to varying energy conditions and usage patterns.

Author

International Journal of Applied Power Engineering

Language

EN