Zone-Based Mobile Device Location for Lower GPS Power Use
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Solution Overview
Problem
Mobile devices consume significant battery power due to frequent and constant location determination and updating, especially when using GPS technology, which is necessary for applications requiring accurate location data.
Innovation Solution
Implementing a zone-based location determination system that utilizes GPS sparingly by using WiFi and cell tower information in different zones to conserve power, with zones defined by proximity to targets, and adjusting accuracy and update frequency accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS is used frequently and constantly to determine device location, then location accuracy is improved, but power consumption increases
Solution Approach 1:
The monitoring area is divided into multiple zones (first zone, second zone, third zone) with different GPS usage strategies. The first zone uses frequent GPS updates for high accuracy, the second zone uses moderate GPS usage, and the third zone uses minimal GPS reliance, instead using WiFi and cell tower data. This segmentation resolves the contradiction by applying different measurement precision levels to different spatial regions.
Solution Approach 2:
Different location determination methods and frequencies are applied to different zones. The system transitions from high-accuracy GPS-based location determination in the first zone to lower-accuracy but lower-power WiFi and cell tower-based methods in the third zone. This local quality approach allows the system to optimize power consumption while maintaining adequate location accuracy for each zone's requirements.
2Productivity
If location updates are performed frequently, then location awareness is improved, but battery life decreases
Solution Approach 1:
The system implements periodic location updates with varying frequencies based on the device's zone. In the first zone, location updates occur frequently to maintain high location awareness. In the third zone, updates occur less frequently, conserving battery life. The system dynamically adjusts the update period based on the current zone and proximity to targets, resolving the contradiction between productivity and duration.
Solution Approach 2:
The location update frequency is dynamically adjusted based on the device's current zone and proximity to monitored targets. The system transitions from high-frequency updates when near targets to low-frequency updates when far from targets, optimizing both location awareness and battery life according to real-time conditions.
3Measurement precision
If GPS is used to determine location in all zones, then location accuracy is maintained, but device resources are wasted
Solution Approach 1:
The system extracts GPS usage from universal application and applies it only where necessary. In the third zone, GPS is completely removed from the location determination process, relying instead on WiFi and cell tower information. This extraction eliminates unnecessary energy loss while maintaining adequate location accuracy for zones where high precision is not critical.
Solution Approach 2:
The system changes the location determination parameters (accuracy requirements, update frequency, method selection) based on the current zone. In the third zone, the accuracy parameter is relaxed to allow the use of lower-power methods like WiFi and cell tower triangulation, reducing device resource consumption while maintaining sufficient location awareness.
Data Source
AI summary
Determining location of a mobile device includes determining the proximity of the mobile device to a predetermined location. Based on the proximity determination, a locational accuracy criterion is selected and the location of the mobile device is determined according to the selected locational accuracy criterion.