Intellectual Property India Publishes Patent Application for 'Neural Network-Based Sensor Data Fusion In Distributed Wireless Networks' Filed by Ms. Pavithra B; Mrs. P. Shanmuga Priya; Ms. R. P. Shyni Vinse; Mrs. G. Marly; Mr. S. S. Raju; Mrs. G. Sindhu; Mrs. Annabel Shimi S P; and Mrs. B. Mary Nathisiya

MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541124913 A) filed by Ms. Pavithra B; Mrs. P. Shanmuga Priya; Ms. R. P. Shyni Vinse; Mrs. G. Marly; Mr. S. S. Raju; Mrs. G. Sindhu; Mrs. Annabel Shimi S P; and Mrs. B. Mary Nathisiya, Chennai, Tamil Nadu, on Dec. 10, 2025, for 'neural network-based sensor data fusion in distributed wireless networks.'

Inventor(s) include Ms. Pavithra B; Mrs. P. Shanmuga Priya; Ms. R. P. Shyni Vinse; Mrs. G. Marly; Mr. S. S. Raju; Mrs. G. Sindhu; Mrs. Annabel Shimi S P; and Mrs. B. Mary Nathisiya.

The application for the patent was published on Jan. 2, under issue no. 01/2026.

According to the abstract released by the Intellectual Property India: "Neural network-based sensor data fusion in distributed wireless networks tackles data redundancy, energy drain, and transmission unreliability in IoT systems. The invention deploys multi-layer perceptrons with attention layers to integrate multimodal sensor data-temperature, humidity, vibration-from edge nodes. Preprocessing normalizes inputs and extracts spatio-temporal features via convolutional blocks. A hybrid BP neural network, particle swarm-optimized, adaptively weights node data by SNR and energy levels, surpassing Kalman filters by 25% accuracy at 20% packet loss in 200-node NS-2 tests. Edge-distributed fusion cuts latency to 50ms, with reinforcement-learned cluster heads slashing energy use 40% over LEACH. Deployable in smart agriculture, structural monitoring, and urban sensing, it boosts fusion accuracy to 95% and network life 6x. Federated extensions ensure privacy in dense topologies."

Disclaimer: Curated by HT Syndication.