Authors: Aashika .K, Assistant Professor Dr.M.kathiresan
Abstract: With the rapid expansion of digital infrastructure, energy consumption by communication networks has become a critical concern. This paper presents an AI-enabled framework for energy-efficient routing and traffic management in next-generation networks. It utilizes machine learning to predict network demand and optimize energy use dynamically, reducing the carbon footprint of data transmission. The system incorporates renewable energy tracking, load balancing, and carbon-aware routing to achieve green networking. Our simulation results show a significant reduction in energy usage without compromising performance, aligning network operations with global sustainability goals.
