IoT Tracker Power Management via Dynamic Sleep Modes

The patent implements periodic location determination and reporting instead of continuous operation. The tracker determines location at scheduled intervals and reports to the network periodically, reducing power consumption while maintaining tracking functionality. This is achieved through mechanisms that schedule location updates based on time intervals or triggering events, allowing the device to enter low-power states between updates.

The patent dynamically adjusts location reporting behavior based on movement detection. When motion is detected via sensors or network location changes, the tracker increases reporting frequency; when stationary, it reduces frequency or enters sleep mode. This dynamic adaptation maintains tracking accuracy during movement while conserving battery power during stationary periods.

The patent employs feedback mechanisms where the tracker monitors its own state (movement, location changes) and adjusts location reporting accordingly. Network entities also provide feedback about tracking quality and battery status, enabling dynamic adjustment of reporting frequency to maintain reliability while optimizing power consumption based on actual tracking needs.

The system implements periodic location updates with configurable intervals, balancing reliability requirements with power consumption. Instead of continuous location services, the tracker performs location determinations at scheduled intervals or when specific events occur, reducing overall power usage while maintaining adequate monitoring reliability.

The patent implements preliminary actions by maintaining certain functions in a ready state even during low-power modes. The tracker keeps network communication capabilities partially active or能够快速唤醒 (quick wake-up) mechanisms prepared, allowing it to respond promptly to location update requests or triggering events without fully exiting sleep mode, thus balancing battery conservation with responsiveness.

The tracker dynamically transitions between sleep mode and active states based on triggering events such as detected motion, scheduled times, or network requests. This dynamic state management ensures the device conserves power during stationary periods while maintaining the ability to respond quickly when location updates are needed, preventing permanent loss of responsiveness.