Intellectual Property India Publishes Patent Application for Energy-Optimized Iot Device Management System Using Reinforcement Learning

MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641069966 A) filed by Dr. V. Sivaraj; Dr. Dhanaraj. S. Jadhav; Mr. Suhas Jadhav; Ms. Ekta Nanavare; Ms. Rutuja Loni; Mrs Shital Borse; Ms. Hemlata Hanamant Mane; Mrs. Kirti Borhade; Mrs. Smita Shedbale; and Mr. Anurag Mankapure on June 04, 2026, for Energy-Optimized Iot Device Management System Using Reinforcement Learning.

Inventors include Dr. Dhanaraj. S. Jadhav; Mr. Suhas Jadhav; Ms. Ekta Nanavare; Ms. Rutuja Loni; Mrs Shital Borse; Ms. Hemlata Hanamant Mane; Mrs. Kirti Borhade; Mrs. Smita Shedbale; and Mr. Anurag Mankapure.

The application for the patent was published on June 12, 2026, under issue no. 24/2026.

Abstract: The present invention discloses an Energy-Optimized IoT Device Management System Using Reinforcement Learning for intelligent energy management in Internet of Things environments. The system comprises IoT devices, data acquisition modules, feature extraction modules, a reinforcement learning engine, edge computing modules, cloud analytics modules, and device control modules. Real-time operational parameters including battery level, network load, sensing activity, processor utilization, and environmental conditions are continuously monitored and converted into state representations. A reinforcement learning agent dynamically determines optimal operational actions including sleep scheduling, communication interval adjustment, sensing frequency control, and edge-cloud processing allocation. The agent continuously learns from environmental feedback using reward-based optimization to minimize energy consumption while maintaining desired service quality. The invention significantly extends battery lifetime, reduces communication overhead, improves network efficiency, and enables autonomous adaptation to changing operating conditions. The system is applicable to smart cities, industrial IoT, healthcare monitoring, agriculture, smart homes, and large-scale sensor network deployments.

Disclaimer: Curated by HT Syndication.