MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202621063731 A) filed by Lnct University on May 20, 2026, for System And Method For Self-Evolving Adaptive Optimization Of Underwater Acoustic Sensor Networks.
Inventors include Neeta Sharma; and Dr. Anamika Singh.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: ABSTRACT SYSTEM AND METHOD FOR SELF-EVOLVING ADAPTIVE OPTIMIZATION OF UNDERWATER ACOUSTIC SENSOR NETWORKS The present invention pertains to an innovative system and methodology for implementing self-evolving adaptive optimization in underwater acoustic sensor networks through the application of artificial intelligence (AI), machine learning (ML), federated deep reinforcement learning, digital twin-driven simulation, and swarm intelligence optimization principles. The inventive system incorporates a multitude of underwater acoustic sensor nodes designed to collect data on underwater communications and intelligence, such as signal propagation delays, signal attenuation, packet loss probability distributions, node energy levels, routing actions, and environmental interference factors. These collected data are subjected to AI/ML optimization modeling to conduct predictive analysis on route selection, adaptive transmission scheduling, congestion resolution, bandwidth rebalancing, and automatic self-repair of communication connections. The present invention also facilitates the creation of adaptive communication control guidance and predictive underwater intelligence assessments for coordination in underwater operations. Federated learning frameworks constantly optimize the underlying optimization models by leveraging distributed underwater operational data while ensuring secure communications.
Disclaimer: Curated by HT Syndication.
