Dynamic Positioning Technique Selection for Mobile Devices
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Solution Overview
Problem
Fingerprinting positioning techniques face challenges such as a laborious and time-consuming calibration phase and rapid obsolescence due to environmental changes, leading to reduced accuracy in determining the location of a mobile device.
Innovation Solution
A method that benchmarks the accuracy of direct and indirect positioning techniques and selects between them based on the benchmark, allowing for situation-aware selection and ensuring high accuracy by using direct positioning when indirect techniques are insufficient and vice versa, while also considering additional decision criteria like battery state and mobility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If fingerprinting positioning technique is used, then positioning can be performed without continuous calibration, but the accuracy deteriorates rapidly due to environmental changes and temporal drift
Solution Approach 1:
The system dynamically switches between indirect fingerprinting positioning and direct positioning techniques based on real-time accuracy benchmarks. When the fingerprinting accuracy falls below a threshold due to environmental changes, the system transitions to direct positioning to maintain accuracy without requiring continuous recalibration of the fingerprint database.
Solution Approach 2:
The system implements a feedback mechanism where positioning accuracy is continuously benchmarked and used to determine whether to use indirect or direct positioning. The benchmark results feed back into the selection logic, allowing the system to adapt to environmental changes and maintain positioning accuracy without frequent manual recalibration.
2Measurement precision
If direct positioning technique is used, then positioning accuracy is maintained despite environmental changes, but the positioning process becomes more complex and resource-intensive
Solution Approach 1:
The system employs dynamic selection between positioning techniques, using indirect fingerprinting when conditions are favorable (simpler, faster) and switching to direct positioning only when accuracy requirements demand it or environmental changes degrade fingerprinting performance. This dynamic approach balances accuracy requirements with system complexity.
Solution Approach 2:
The system changes the operational parameters by switching between two distinct positioning methodologies based on benchmark accuracy thresholds. This parameter change allows the system to optimize between simplicity and accuracy depending on current environmental conditions and positioning requirements.
3Use of energy by moving object
If indirect positioning technique is used, then energy consumption is reduced, but positioning accuracy becomes insufficient in changing environments
Solution Approach 1:
The system dynamically adjusts its positioning strategy based on real-time accuracy benchmarks, switching from energy-efficient indirect positioning to more accurate but energy-intensive direct positioning when environmental changes degrade fingerprinting accuracy. This dynamic adaptation optimizes the trade-off between energy consumption and positioning accuracy.
Solution Approach 2:
A feedback loop continuously monitors positioning accuracy and triggers a switch from indirect to direct positioning when accuracy thresholds are not met. This feedback mechanism ensures that the system only consumes additional energy when necessary to maintain acceptable positioning accuracy.
Data Source
AI summary
A method includes obtaining a benchmark of an accuracy of at least one of a direct positioning technique or an indirect positioning technique for positioning of a mobile device. The method also includes, depending on the benchmark, selecting between positioning of the mobile device using the direct positioning technique and the indirect positioning technique.