MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202641108524 A) filed by Madhankumar C; Dr. P. Rajasekar - Jawahar Science College; Mr Naveen Kumar N - Npr College Of Engineering And Technology; Dr. M. Archana - Rathinam Technical Campus; Mrs. Vidya P - United Institute Of Technology; Mr Shyam Sundar R - Vidyaa Vikas College Of Engineering And; and Dr. Jishan K. Shaikh - Silver Oak College Of Engineering And Technology on September 10, 2026, for Ai-Driven Hybrid Satellite–6g Communication Framework For Real-Time National Emergency Communication And Disaster Management Using Edge Intelligence, Multi Sensor Fusion, And Autonomous Network Optimization.
Inventors include Dr. P. Rajasekar - Jawahar Science College; Mr Naveen Kumar N - Npr College Of Engineering And Technology; Dr. M. Archana - Rathinam Technical Campus; Mrs. Vidya P - United Institute Of Technology; Mr Shyam Sundar R - Vidyaa Vikas College Of Engineering And; and Dr. Jishan K. Shaikh - Silver Oak College Of Engineering And Technology.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: AI-Driven Hybrid Satellite–6G Communication Framework for Real-Time National Emergency Communication and Disaster Management Using Edge Intelligence, Multi Sensor Fusion, and Autonomous Network Optimization ABSTRACT The present invention relates to an AI-Driven Hybrid Satellite–6G Communication Framework for Real-Time National Emergency Communication and Disaster Management Using Edge Intelligence, Multi-Sensor Fusion, and Autonomous Network Optimization, configured to provide resilient, intelligent, and adaptive communication services during natural disasters, infrastructure failures, large-scale emergencies, and communication-network disruptions. The framework integrates satellite communication, 6G terrestrial wireless networks, Internet of Things (IoT) devices, distributed edge computing, multi-sensor data fusion, artificial intelligence, autonomous network optimization, and real time emergency management within a unified communication architecture. The system acquires heterogeneous emergency information from IoT sensors, mobile devices, emergency response units, unmanned sensing platforms, environmental monitoring systems, public infrastructure, and authorized emergency information sources. A multi-sensor fusion module correlates environmental, geographical, infrastructure, population-density, network-condition, and emergency-event information to generate a unified disaster-state representation. An edge intelligence layer performs local data processing, event detection, prioritization, and emergency-message generation near affected regions to reduce latency and dependence on centralized processing. A hybrid communication engine dynamically integrates satellite links and 6G terrestrial communication links according to network availability, coverage, congestion, latency, reliability, and emergency priority. An artificial intelligence-based network optimization module continuously evaluates communication conditions and autonomously selects or coordinates suitable communication paths, bandwidth allocation, routing strategies, service priorities, and network resources within predefined operational policies. A disaster management module analyses real-time sensor and communication information to support emergency detection, affected-area identification, resource coordination, evacuation-support information, and restoration planning. An explainable AI module provides human-readable explanations identifying sensor observations, network conditions, predicted communication requirements, optimization factors, and confidence indicators associated with generated recommendations. The framework further supports communication continuity through multi path connectivity, edge-based local operation, temporary network formation, adaptive traffic prioritization, and store-and-forward mechanisms during partial network failures. An authorized emergency management interface provides real-time geospatial visualization, network status, disaster indicators, alerts, resource information, and evidence-linked recommendations. The invention thereby provides a resilient, intelligent, adaptive, low latency, and scalable emergency communication framework capable of maintaining critical connectivity and supporting coordinated disaster management while preserving configurable human oversight for high-impact emergency decisions.
Disclaimer: Curated by HT Syndication.
