Portable Device GNSS Power Saving via Aggregated Location Data
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Solution Overview
Problem
Portable devices with GNSS receivers face significant power consumption issues, especially during continuous navigation, leading to battery drain, which limits their usage and reliability.
Innovation Solution
A portable device that adapts GNSS system resource usage based on predicted power requirements by aggregating data from multiple devices traversing similar regions, using mapping and navigational data to select power-saving modes, reduce positional update rates, and estimate positions between updates, thereby minimizing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous GNSS signal reception and processing is performed for navigation, then positional accuracy and navigation reliability are improved, but power consumption increases significantly
Solution Approach 1:
The system dynamically adjusts GNSS receiver operation modes based on real-time conditions. The receiver switches between continuous tracking, periodic positioning, and estimation modes depending on battery status, location accuracy requirements, and environmental factors, thereby optimizing the balance between navigation reliability and power consumption
Solution Approach 2:
The system changes operational parameters such as positioning update frequency, receiver power state, and signal processing intensity based on aggregated data from multiple devices. By adjusting these parameters dynamically, the system maintains acceptable navigation reliability while significantly reducing power consumption during continuous operation
2Measurement precision
If high-frequency positional updates are performed, then real-time location accuracy is improved, but battery life is reduced
Solution Approach 1:
Instead of continuous high-frequency updates, the system implements periodic positioning at optimized intervals. Aggregated data from multiple devices is used to determine optimal update frequencies for different geographic regions and navigation scenarios, reducing battery consumption while maintaining acceptable location accuracy through periodic rather than continuous measurements
Solution Approach 2:
The system uses aggregated positional data from multiple devices as a reference to estimate individual device positions between actual GNSS updates. This copying approach allows the system to maintain perceived real-time location accuracy without performing actual high-frequency measurements, thereby extending battery life
3Use of energy by moving object
If adaptive power saving modes are implemented using aggregated data, then power consumption is reduced, but system complexity increases
Solution Approach 1:
The system implements a multi-functional architecture where a single data aggregation module serves multiple purposes: collecting power consumption data, analyzing location patterns, determining optimal positioning frequencies, and providing recommendations for power saving. This universal module reduces overall system complexity compared to implementing separate specialized systems for each function
Solution Approach 2:
The system uses aggregated data from multiple devices to automatically optimize its own power consumption without requiring manual configuration or complex external control systems. The adaptive power saving modes are self-determined based on collective device experiences, reducing the complexity of control architecture while achieving significant power reduction
Data Source
AI summary
Methods, systems, and portable devices which reduce the power used by a portable device to receive/process satellite navigational system signals and/or to compute the portable device's position using satellite navigational system signals are described. One portable device retrieves power usage information corresponding to its current location, where the power usage information is based on aggregate data from portable devices which have traversed and/or are traversing the current location. The portable device then selects a power saving mode from a plurality of power saving modes based on the retrieved power usage information, where each power saving mode reduces power usage in one or more of receiving and/or processing satellite navigational system signals, and/or computing the portable device's position using the satellite navigational system signals.