Mobile Device Wireless Interface Power Optimization
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Solution Overview
Problem
Power consumption associated with wireless data communication in mobile devices significantly affects battery life, as existing technologies lack efficient methods to optimize energy usage across various applications and access points.
Innovation Solution
A method and apparatus that measure and record power consumption across different wireless interfaces and access points, identifying the combination that results in the lowest power consumption for each application, allowing the device to communicate using the most efficient interface and access point.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the mobile device uses wireless communication for applications, then the application functionality is improved, but power consumption increases
Solution Approach 1:
The system changes operational parameters by measuring power consumption across different wireless interfaces (WiFi, Bluetooth, cellular) and access points, then selects the interface/access point combination that minimizes power consumption for each specific application and circumstance, resolving the contradiction between maintaining functionality and reducing energy use
Solution Approach 2:
The mobile device performs self-optimization by autonomously measuring power consumption, recording results in a database, and automatically selecting the most energy-efficient wireless interface and access point for each application without requiring user intervention, thereby balancing functionality and power consumption
2Use of energy by moving object
If the mobile device monitors and selects optimal wireless interfaces, then power consumption is reduced, but device complexity increases
Solution Approach 1:
The system performs preliminary measurements of power consumption for different wireless interfaces and access points under various conditions, storing these results in a database before actual use. This pre-characterization approach simplifies real-time decision-making, as the system only needs to query pre-collected data rather than perform complex real-time analysis, thus reducing operational complexity while maintaining power optimization
Solution Approach 2:
A database serves as an intermediary layer between the wireless interfaces and the application layer, storing pre-measured power consumption data. This intermediary structure simplifies the control logic by decoupling the measurement complexity from the selection process, allowing the system to reduce power consumption without proportionally increasing control complexity
Data Source
AI summary
A method comprises controlling a mobile device comprising one or more wireless interfaces, one or more applications that require the mobile device to communicate wirelessly, and a database, to perform measuring power consumption during wireless communication in each of a plurality of circumstances in which one or more conditions are present for plural combinations of the one or more applications, and the one or more wireless interfaces and/or available access points, for each measurement of power consumption, recording in the database the measured power consumption (4.5) along with: information on the associated one or more conditions, and indicators identifying the one of the one or more applications and the one of the one or more wireless interfaces and/or access points (4.1), detecting a requirement of a first one of the one or more applications for wireless communication (4.2), utilizing the database and information on current conditions to identify the wireless interface and/or access point that might be expected to cause the lowest power consumption (4.3), and using the identified interface and/or access point to allow the first application to communicate wirelessly (4.4).