MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202611113307 A) filed by Tanmay Uday Sane on September 22, 2026, for Self-Calibrating System And Method For Predicting Firmware Execution Energy And Autonomously Optimizing Battery Operation In Internet-Of-Things Devices.
Inventor includes Tanmay Uday Sane.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: A self-calibrating framework predicts energy attributable to firmware execution in a battery-operated Internet-of-Things device and autonomously adapts device operation according to the prediction. An execution event monitor observes firmware events and a feature extraction engine generates an execution signature representing software activity together with hardware operating context. An energy prediction model determines a predicted energy value and a confidence indicator. A self-calibration engine selectively acquires a reference energy observation according to confidence, signature novelty, drift, firmware change, environmental condition, or another calibration trigger, determines a prediction residual, and updates a selected model parameter subject to residual qualification and bounded adaptation. A battery state estimator combines predicted energy with battery information, and an autonomous policy optimizer evaluates candidate operating policies against an energy objective and functional constraints. The selected policy can alter processor operation, sensing, communication, scheduling, peripheral activation, wake interval, sleep depth, or algorithmic fidelity. The closed loop enables device-specific adaptation to component variation, battery aging, environmental drift, workload change, and firmware updates while reducing dependence on continuous precision power measurement. Accompanied Drawing [FIGS. 1-2].
Disclaimer: Curated by HT Syndication.
