Systems and methods for predictive sleep scheduling for battery-powered devices
AssigneeProdatakey, Inc.
InventorsEvan Orme, Michael Scott Redd
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AssigneeProdatakey, Inc.
InventorsEvan Orme, Michael Scott Redd
Estimating the term…
A system and method for implementing a system and method for optimizing energy efficiency in networked endpoints and other battery-powered networked endpoints through predictive scheduling of sleep cycles and wake cycles, and by leveraging historical activity data, contextual cues such as calendar events and geolocation, and user interaction patterns, a dynamic forecasting model predicts periods of inactivity and schedules power-saving modes without compromising user experience, and wherein the system may use machine learning to refine wake and sleep predictive timetables based on real-time feedback, ensuring adaptability and accuracy and thereby extend battery life, reduce maintenance costs, and enhance the operational efficiency of wireless access control systems.
A system for conserving energy in a battery-powered wireless networked endpoint, comprising:
A computer‑implemented method for reducing energy consumption of a battery‑powered wireless networked endpoint, comprising:
Dependencies are inferred from the claim text.