Dynamic Location Update Rate for Mobile Power Saving
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Solution Overview
Problem
Mobile computing devices face significant power consumption issues due to frequent location determination, which reduces their usage time, as continuous location updates require substantial energy.
Innovation Solution
A mobile computing device adjusts the rate of location updates based on threshold distance values and current/anticipated locations, reducing power consumption by decreasing update frequency in areas with lower street density or when familiar routes are traveled.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the location-determining system continuously updates the location at a high rate, then the navigation accuracy and location awareness are improved, but the power consumption increases significantly
Solution Approach 1:
The location update rate is made dynamic rather than static. The system continuously monitors the distance between current and anticipated future locations, and adjusts the update frequency accordingly. When the device is moving quickly or approaching significant locations, updates occur more frequently. When moving slowly or along familiar routes, updates occur less frequently, optimizing the balance between accuracy and power consumption.
Solution Approach 2:
The system changes the parameter of location update frequency based on contextual conditions. By comparing the distance to anticipated future location against a threshold, the system switches between different update rates. This allows the measurement precision to be maintained when needed while reducing power consumption during periods when frequent updates are less critical.
2Reliability
If the location update frequency is increased to maintain navigation accuracy, then the navigation reliability is improved, but the device usage time decreases due to higher power consumption
Solution Approach 1:
The update frequency is dynamically adjusted based on real-time conditions. The system calculates the distance between current and anticipated future locations, and only increases power consumption (more frequent updates) when the distance threshold indicates that accurate location data is currently needed for reliable navigation.
Solution Approach 2:
The location-determining system automatically regulates its own operation based on computed distance metrics. By using the anticipated future location and threshold distance to self-adjust the update rate, the system maintains navigation reliability autonomously without requiring manual intervention, thereby extending usage time through intelligent self-management of power resources.
3Use of energy by moving object
If the location determination rate is reduced to conserve power, then the power consumption decreases and usage time extends, but the navigation accuracy may be compromised
Solution Approach 1:
The system changes the update rate parameter based on the computed distance between current and anticipated future locations. When this distance exceeds the threshold, the system maintains higher update rates to preserve accuracy. When the distance is below the threshold, the system safely reduces the update rate, knowing that accurate location data is less critical for maintaining navigation reliability.
Solution Approach 2:
Rather than using a fixed update rate, the system implements a dynamic update strategy that adapts to current navigation conditions. The update frequency automatically increases when the device is approaching significant locations or moving rapidly, and decreases when moving slowly or along well-known routes, thus maintaining accuracy when needed while conserving power when possible.
Data Source
AI summary
A mobile computing device includes a housing, a processor provided within the housing, and a location-determining system configured to determine a current location of the mobile computing device at a first rate. The location determining system may be configured to adjust the first rate to a different second rate based on a threshold distance value and a distance from the current location to an anticipated future location of the mobile computing device.