MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202641112067 A) filed by R. M. D. Engineering College on September 18, 2026, for Ai-Based Predictive Network Congestion Detection And Self-Optimizing Communication Management System.
Inventors include Mr. T. Venkatesan; Dr. A. Tamizharasi; Dr. A. Gnanasekar; Mrs. G. Manisha; and Dr. J. Sherine Glory.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: The present invention relates to an Artificial Intelligence (AI)-based predictive network congestion detection and self-optimizing communication management system for detecting, predicting, and mitigating network congestion in real time. The proposed system comprises a plurality of network monitoring sensors and communication nodes configured to collect network parameters including bandwidth utilization, packet loss, latency, jitter, queue length, traffic flow, link utilization, signal quality, and communication load. A data preprocessing module filters noise and converts the collected parameters into normalized feature vectors. An AI-based prediction engine processes the feature vectors using machine learning and/or deep learning models to identify current congestion conditions and predict impending congestion before severe degradation occurs. A congestion classification module categorizes network conditions into normal, moderate, high, and critical states. Based on the predicted congestion level, an intelligent optimization controller dynamically selects communication actions including traffic rerouting, bandwidth allocation, priority scheduling, load balancing, transmission-rate adjustment, queue management, channel selection, and resource redistribution. A feedback module continuously evaluates the effect of the selected optimization action and updates the AI model and control parameters using subsequent network observations. The system thereby provides predictive rather than purely reactive congestion management, improves communication resource utilization, reduces packet loss and latency, and maintains reliable network performance across wired, wireless, IoT, edge, and heterogeneous communication environments.
Disclaimer: Curated by HT Syndication.
