Paired Mobile Device Co-Location Control for Lower Wireless Power Use
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Solution Overview
Problem
The continuous operation of short range wireless communication components for co-location detection in mobile devices consumes significant power resources, which are often limited, necessitating a solution to optimize power consumption.
Innovation Solution
A power optimization component periodically queries location services to determine the geographic distance between paired client devices and disables or resumes co-location detection based on predefined threshold distances, using location data to manage the operation of short range wireless communication components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous co-location detection is performed using short range wireless communication components, then detection reliability is improved, but power consumption increases
Solution Approach 1:
The system performs co-location detection periodically rather than continuously by using location services at predetermined intervals and comparing distance changes. This periodic approach maintains detection reliability while significantly reducing power consumption compared to continuous short range wireless communication.
Solution Approach 2:
The system introduces location services as an intermediary mechanism to infer co-location status indirectly through geographic distance comparison, rather than directly using short range wireless communication components. This mediator approach reduces power consumption while maintaining detection accuracy.
2Measurement precision
If short range wireless communication components are continuously enabled for co-location detection, then co-location detection accuracy is improved, but battery life decreases
Solution Approach 1:
The system uses location services at predetermined intervals to periodically determine geographic distances between devices. This periodic measurement maintains co-location detection accuracy while extending battery life by avoiding continuous operation of power-intensive wireless communication components.
Solution Approach 2:
The system changes the operational parameters of detection by using location data with distance thresholds instead of continuous wireless signal monitoring. This parameter change maintains detection precision while reducing power consumption and extending battery life.
3Use of energy by moving object
If location services are used to determine geographic distance between devices, then power consumption is reduced, but detection response time increases
Solution Approach 1:
The system dynamically adjusts detection frequency based on distance changes. When devices are close together, detection occurs more frequently; when far apart, detection frequency decreases. This dynamic approach optimizes both response time and power consumption adaptively.
Solution Approach 2:
The system uses feedback from location data to determine when to perform co-location detection. By monitoring distance changes and triggering detection only when necessary (when devices are within threshold distance), the system reduces unnecessary power consumption while maintaining timely detection response.
Data Source
AI summary
The technical problem of optimizing power consumption of paired user devices is addressed by disabling and resuming short range wireless communication components of the paired user devices. The disabling and resuming of the short range wireless communication components may be determined based on a comparison of a distance between the paired user devices and a threshold distance. The threshold distance may be adjusted by a machine learning model according to user profiles associated with the paired user devices. The distance between the paired user devices may be determined based on location data of the paired user devices. The location data may be obtained by global positioning systems (GPS) mounted on the paired user devices. The location data may be communicated between the paired user devices via a messaging server.