Sensor-Assisted Partial Image Loading for Mobile Power Management
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Solution Overview
Problem
Mobile devices, such as IoT tracking devices, consume significant power when remaining in a fully active state, leading to reduced battery life, as they unnecessarily activate communication and navigation modules due to small motions, which can trigger full software image boots, increasing power consumption.
Innovation Solution
Implementing a sensor-assisted software image loading method that initially loads a partial image state when motion is detected, transitioning to a full active state only when significant motion is confirmed, and returning to a power collapse state when motion ceases, thereby reducing unnecessary power usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the mobile device remains in a fully active state to quickly respond to motion, then the response speed is improved, but the power consumption increases significantly
Solution Approach 1:
The system dynamically adjusts the device state between power collapse mode and full active mode based on motion detection. The mobile device management module transitions between different operational states (power collapse, partial image, full active) depending on whether motion is detected, optimizing the balance between response speed and power consumption in real-time
Solution Approach 2:
The system performs preliminary action by loading a partial image state when motion is detected, preparing the device for potential full activation. This preliminary loading of critical components (without full navigation/communication instructions) allows faster transition to full active state when needed, while avoiding the power cost of maintaining full active state continuously
2Reliability
If the mobile device loads a full software image state, then the functionality and reliability are improved, but the power consumption and battery life are worsened
Solution Approach 1:
The software image is segmented into two parts: a partial image state containing only critical components, and full navigation/communication instructions. The system loads only the partial image state when motion is detected, ensuring essential functionality while omitting power-intensive navigation and communication modules unless absolutely necessary
Solution Approach 2:
The system changes the operational parameter by switching between different image states (partial vs. full). When motion is detected, it transitions to loading partial image; when no motion is detected for a threshold period, it transitions to power collapse state, effectively changing the functional state based on detected conditions
3Adaptability or versatility
If the mobile device activates communication and navigation modules, then the service capability is improved, but the battery life is reduced
Solution Approach 1:
The system extracts and separates the power-intensive navigation and communication instructions from the critical core functionality. By loading only the partial image state without these extracted components, the device maintains essential service capability while eliminating the battery drain associated with full navigation and communication module activation
Data Source
AI summary
Techniques for extending battery life in a mobile device are provided. An example of a mobile device according to the disclosure includes at least one external motion detect sensor, a mobile device management module operably coupled to the at least one external motion detect sensor, the mobile device management module comprising at least one processor configured to detect a motion interrupt, load a partial image state into the mobile device management module, detect a motion that meets or exceeds while in the mobile device management module is in the partial image state, load a full image state into the mobile device management module, and enable the mobile device management module in a full active state.