MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202641094595 A) filed by Dr. Venkata Kishore Kumar Rejeti; Mrs. Tirumalasetty Sai Priyanka; Ms. J. Chaitanya; Mrs. Jetti Sri Lakshmi; Mr. P. Hareesh; Mrs. D. Jeevitha; Mr. Jaladi N Chandra Sekhar; Mr. Sai Prasanth Kanuparthy; Dr. Rajesh Yamparala; and Ms. Swathi. Annam on August 04, 2026, for System And Method For Adaptive Energy Management In Internet Of Things (iot) Devices Using Predictive Scheduling.
Inventors include Dr. Venkata Kishore Kumar Rejeti; Mrs. Tirumalasetty Sai Priyanka; Ms. J. Chaitanya; Mrs. Jetti Sri Lakshmi; Mr. P. Hareesh; Mrs. D. Jeevitha; Mr. Jaladi N Chandra Sekhar; Mr. Sai Prasanth Kanuparthy; Dr. Rajesh Yamparala; and Ms. Swathi. Annam.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: The present invention relates to a system and method for adaptive energy management in Internet of Things (IoT) devices using predictive scheduling. The invention comprises a predictive scheduling engine configured to analyze historical operational data, contextual information, battery characteristics, environmental parameters, communication requirements, and application priorities for forecasting future workloads using artificial intelligence techniques. Based on predicted computational demand and energy availability, the system dynamically allocates processing resources, communication interfaces, sensing operations, memory utilization, and peripheral device activities to minimize overall energy consumption while maintaining quality of service and communication reliability. The invention further incorporates battery intelligence, communication optimization, security-aware scheduling, renewable energy prediction, and continuous feedback learning for improving long-term prediction accuracy and operational efficiency. The disclosed architecture is applicable to smart homes, industrial automation, healthcare monitoring, agriculture, transportation, environmental sensing, wearable electronics, smart cities, and distributed edge computing systems, thereby providing an intelligent, scalable, and energy-efficient IoT management solution. Accompanied Drawing [FIGS. 1-2]
Disclaimer: Curated by HT Syndication.
