Adaptive Location Determination System for Mobile Devices
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Solution Overview
Problem
Current location determination methods in mobile devices often lack efficiency and flexibility, as they rely on a single technique (like GPS) without considering power constraints, application needs, or multiple available technologies, leading to suboptimal performance and resource usage.
Innovation Solution
A method and system in a mobile device that selects the most appropriate location determination technique based on criteria such as device state, available power, application requirements, and prioritization, aggregating multiple techniques like GPS, transmitter power, and transmitter identifying information to determine the location efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single location determination technique (e.g., GPS) is used, then the device complexity is reduced, but the location determination efficiency and adaptability deteriorate due to inability to optimize based on power constraints and application needs
Solution Approach 1:
The location determination system is segmented into multiple independent techniques (GPS, cellular tower triangulation, Wi-Fi positioning, Bluetooth beacon positioning). Each technique operates independently and can be selected based on specific conditions, allowing the system to achieve high adaptability without requiring all techniques to operate simultaneously, thus managing complexity through modular architecture.
Solution Approach 2:
The system dynamically selects and switches between different location determination techniques based on real-time conditions such as power availability, location accuracy requirements, and network connectivity. This dynamic adaptation allows the system to optimize performance for each specific scenario while maintaining manageable complexity through condition-based decision logic.
2Measurement precision
If multiple location determination techniques are aggregated, then the location determination accuracy and adaptability are improved, but the device complexity and resource consumption increase
Solution Approach 1:
The system implements dynamic selection logic that evaluates multiple location determination techniques and activates only the most appropriate one(s) based on current conditions. This prevents all techniques from operating simultaneously, reducing overall system complexity and resource consumption while maintaining high accuracy through intelligent technique selection.
Solution Approach 2:
The system changes operational parameters by adjusting which location determination techniques are active based on conditions such as power availability, required accuracy level, and network connectivity status. This parameter-based control allows the system to achieve high measurement precision when needed while reducing complexity during normal operation.
3Measurement precision
If GPS is used for location determination, then the location accuracy is improved, but the power consumption increases
Solution Approach 1:
The system changes the operational parameters by switching between location determination techniques based on power availability and accuracy requirements. When power is constrained, the system transitions from high-power GPS to lower-power alternatives like cellular tower triangulation or Wi-Fi positioning, achieving acceptable accuracy while significantly reducing power consumption.
Solution Approach 2:
The system applies partial action by using GPS only when necessary for high-accuracy requirements and combining it with lower-power techniques for routine location determination. This selective application of GPS ensures high accuracy is achieved when needed without continuously consuming high power, optimizing the balance between precision and energy efficiency.
4Adaptability or versatility
If multiple location determination techniques are implemented, then the adaptability to different conditions is improved, but the difficulty of detecting and measuring appropriate techniques increases
Solution Approach 1:
The system segments the location determination functionality into distinct, well-defined techniques with clear operational characteristics. Each technique is independently implemented with documented requirements and limitations, making it easier to detect which technique is most appropriate for given conditions through systematic comparison rather than complex analysis.
Solution Approach 2:
The system performs preliminary evaluation of available techniques and their suitability for current conditions before executing location determination. This preliminary assessment phase, which includes checking power availability, network connectivity, and accuracy requirements, simplifies the overall selection process by pre-identifying the most appropriate technique(s) before main execution begins.
Data Source
AI summary
Among other disclosed subject matter, a method includes detecting that a location is to be determined. The method includes selecting at least one among multiple location determination techniques based on a selection criterion. The method includes causing the location to be determined using the selected location determination technique.