MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641018975 A) filed by Koneru Vijaya Lakshmi; Gajjala Savithri; and Koneru Lakshmaiah Education Foundation, Tenali, Andhra Pradesh, on Feb. 19, for 'an intelligent integrated deep learning and multi-dimensional trust-based system for predictive mobile sink mobility, secure energy-aware routing, and self-adaptive optimization in wireless sensor networks..'
Inventor(s) include Gajjala Savithri; and N. Raghavendra Sai.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an intelligent integrated framework for Wireless Sensor Networks that combines multi-horizon deep learning-based mobile sink prediction, multi-dimensional dynamic trust evaluation, secure energy-aware routing, and reinforcement learning-based adaptive performance optimization. The system generates probabilistic sink mobility zones, dynamically recalibrates trust values using anomaly detection and time-decay mechanisms, and continuously adjusts routing parameters through a self-learning optimization process. The invention enhances security, reduces energy consumption, prevents energy hole formation, improves packet delivery ratio and throughput, and significantly extends network lifetime in dynamic Wireless Sensor Network environments."
Disclaimer: Curated by HT Syndication.
