Context-Based Localization Priority Lists for Mobile Devices
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Solution Overview
Problem
Wireless mobile devices face challenges in accurately determining their location along a route of travel due to varying accuracy and power requirements of different localization techniques, which can be affected by device type, location, and environmental factors, leading to inefficiencies in power consumption and reliability.
Innovation Solution
A method and system that utilize context-based priority lists of localization methods, where a server generates and sends prioritized lists to a mobile device based on its journey information, including factors like weather, historical data, and device conditions, to ensure the use of effective localization technologies with higher accuracy and lower power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple localization techniques are used to improve accuracy, then localization accuracy is improved, but power consumption increases
Solution Approach 1:
The patent implements dynamic selection of localization techniques based on contextual factors including device type, location, environmental conditions, and journey information. The system adjusts which localization methods are active in real-time, switching between GPS, Wi-Fi, cellular, and sensor-based methods depending on the current context, thereby maintaining accuracy while minimizing power consumption.
Solution Approach 2:
The system changes operational parameters by adjusting the priority and activation status of different localization techniques based on multiple variables including device capabilities, environmental conditions, journey stage, and accuracy requirements. This parameter adjustment allows the system to optimize the balance between accuracy and power consumption for each specific situation.
2Use of energy by moving object
If context-based priority lists are implemented to reduce power consumption, then power efficiency is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-determining context-based priority lists of localization methods before actual localization is needed. These priority lists are generated based on device type, expected journey information, and environmental factors, allowing the system to have optimization strategies ready in advance rather than making complex decisions in real-time during localization operations.
Solution Approach 2:
The patent introduces an intermediary layer (the context-based priority list system) that mediates between the multiple localization techniques and the final localization output. This intermediary processes contextual information and translates it into prioritized method selection, simplifying the overall system architecture by centralizing the decision-making logic in a manageable intermediate component.
Data Source
AI summary
In some implementations, a mobile device may receive, from a server, a set of priority lists for localization of the mobile device, where the set of priority lists comprises, for each context of a plurality of contexts, a corresponding prioritized list of localization methods for the mobile device to use, during a journey, for a respective context. The mobile device may determine an applicable context from the plurality of contexts based on a course location of the mobile device along the journey. The mobile device may perform localization method in accordance with a priority list, from the set of priority lists, corresponding to the applicable context.