Dynamic Sensor Switching for Context Awareness Energy Efficiency
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Solution Overview
Problem
Portable electronic devices face high power consumption when determining user context using multiple sensors, which affects battery life and energy efficiency.
Innovation Solution
A method and apparatus that dynamically activate and deactivate sensors based on confidence measures in context classification, using a flexible algorithmic framework to balance energy efficiency and accuracy by selectively switching on/off or changing power modes of sensors like accelerometers and barometers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are activated to determine device orientation and environmental conditions, then measurement precision and reliability are improved, but energy consumption increases
Solution Approach 1:
The system dynamically adjusts sensor activation based on real-time confidence measures. The processor calculates confidence scores for context classifications and selectively activates additional sensors only when confidence falls below thresholds, creating a dynamic adaptation between accuracy and energy consumption rather than static full-sensor operation
Solution Approach 2:
The system changes operational parameters by adjusting sensor power states based on confidence measures. Sensors are switched between active and low-power modes depending on whether the current context classification meets accuracy requirements, effectively changing the system's energy consumption parameter in response to performance needs
2Reliability
If multiple sensors are continuously activated, then reliability of context determination is improved, but loss of energy increases
Solution Approach 1:
The system implements feedback by continuously monitoring confidence measures from context classifications and using this information to control sensor activation. The processor receives confidence feedback, compares it against thresholds, and adjusts sensor power states accordingly, creating a closed-loop system that maintains reliability while minimizing energy loss
Solution Approach 2:
The system performs self-service by autonomously managing sensor power states based on its own performance metrics. The processor evaluates its own context classification confidence and independently decides when to activate or deactivate sensors without external intervention, enabling the device to self-regulate its energy consumption while maintaining detection reliability
3Productivity
If sensors are selectively switched on and off based on confidence measures, then energy efficiency is improved, but device complexity increases
Solution Approach 1:
The confidence measure calculation and threshold comparison mechanism serves multiple functions: it evaluates context classification quality, determines sensor activation needs, and controls power state transitions. This multi-functional approach consolidates control logic into a universal framework that manages sensor power states across different contexts without requiring separate control systems for each sensor
Data Source
AI summary
Disclosed herein is a method of operating an electronic device. The method includes activating a first sensing device, and determining a first probabilistic context of the electronic device relative to its surroundings. The method includes outputting the first probabilistic context, and determining a confidence measure of the first probabilistic context. Where the confidence measure of the first probabilistic context is below a threshold, the method includes activating a second sensing device, determining a second probabilistic context of the electronic device relative to its surroundings. outputting the second probabilistic context, and determining a confidence measure of the second probabilistic context. Where the confidence measure of the second probabilistic context is above the threshold, the second sensing device is deactivated and the method returns to determining the first probabilistic context.


