MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511115804 A) filed by Ajay Kumar Garg Engineering College, Ghaziabad, Uttar Pradesh, on Nov. 23, 2025, for 'system for secure and energy-efficient wireless sensor networks and working method thereof.'
Inventor(s) include Dr. Nishant Kumar Pathak; Aditya Kumar; Aditya Singh; Ansh Gupta; Aman Paliwal; and Disha Ranjan.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a System for Secure and Energy-Efficient Wireless Sensor Networks and Working Method Thereof, which integrates Deep Learning (DL) and Reinforcement Learning (RL) to achieve real-time intrusion detection and adaptive routing. The DL module analyzes network traffic to identify and classify attacks, generating per-node Security Scores and risk masks, while the RL agent dynamically optimizes routing paths using a multi-parameter reward function balancing energy consumption, packet delivery, and network security. The system architecture includes sensor nodes, RL-enabled cluster-heads, and a DL-based base station communicating over IEEE 802.15.4 protocols. The feedback mechanism between DL and RL modules enables intelligent decision-making, improved detection accuracy, enhanced energy efficiency, and increased network lifetime. The invention is applicable to smart cities, healthcare IoT, defense surveillance, and industrial automation requiring secure, energy-efficient, and resilient wireless sensor networks."
Disclaimer: Curated by HT Syndication.
