MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202511122565 A) filed by Chandigarh University, Mohali, Punjab, on Dec. 5, 2025, for 'ai-driven system and method for node deployment in underwater network to optimize localization accuracy.'
Inventor(s) include Manni Kumar; Sachin Ahuja; and Nitin Goyal.
The application for the patent was published on Jan. 23, under issue no. 04/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a dynamic and intelligent anchor node deployment system for accurate and energy-efficient localization in Underwater Wireless Sensor Networks (UWSNs). The system comprises sensor nodes (101) with unknown positions, mobile anchor nodes (102) capable of three-dimensional movement, acoustic communication modules (103) for underwater data exchange, and a Reinforcement Learning (RL) based control module (104) for adaptive real-time decision-making. The RL module continuously observes network and environmental parameters, such as anchor positions, localization error, energy levels, and acoustic signal quality, to determine optimal anchor movement, depth adjustment, and beacon transmission strategies. A multi-objective reward function is employed to simultaneously optimize localization accuracy, coverage area, communication delay, and power efficiency. The invention is applicable to marine domains including environmental monitoring, resource exploration, infrastructure inspection, and underwater security surveillance."
Disclaimer: Curated by HT Syndication.
