Introducing ENTE-TCP: Smart TCP Congestion Control for Modern Networks

A Simplified Approach to Intelligent Congestion Control ENTE-TCP is a streamlined version of NDM-TCP (Neural Differential Manifolds TCP), designed to bring the core innovation of entropy-based congestion detection to a wider audience without the complexity of machine learning. What makes ENTE-TCP different from NDM-TCP? NDM-TCP pioneered the use of neural networks combined with Shannon Entropy for TCP congestion control, achieving excellent performance through adaptive learning. ENTE-TCP takes the proven entropy calculation from NDM-TCP and replaces the neural network layers with straightforward, transparent logic. The result is an algorithm that's: Easy to understand : Clear if-else decisions based on entropy thresholds Lightweight : No neural network overhead Transparent : Every decision is explainable Effective : Retains the core noise vs. congestion detection capability Think of it as "NDM-TCP without the ML" — keeping the brilliant insight about entropy, removing the neural networ