Location-Aware URL Caching for Mobile Website Access
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Solution Overview
Problem
Users of mobile devices face difficulties in finding and managing location-specific websites, as conventional approaches require significant manual effort and time, and existing systems fail to efficiently manage cached websites based on appropriateness for the current location.
Innovation Solution
A location-aware URL management system that utilizes ambient wireless signals to determine a device's location and contextual factors, automatically generating and caching relevant website links, and managing cache content based on location changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual searching and management of location-specific websites is used, then users can access websites, but it requires significant manual effort and time
Solution Approach 1:
The system automatically determines the mobile device's location using ambient wireless signals and generates a list of relevant websites without requiring manual user input. The URL list manager autonomously queries databases, selects appropriate websites, and updates cached content based on location changes, eliminating the need for users to manually search for location-specific websites.
Solution Approach 2:
The system proactively determines the mobile device's location and generates a list of relevant websites before the user needs them. By continuously monitoring location changes and pre-populating the URL list based on current location, the system ensures that relevant websites are readily available when the user arrives at a new location, eliminating waiting time.
2Reliability
If cached websites are stored for offline access, then website availability is improved, but memory usage increases
Solution Approach 1:
The system dynamically manages cached websites based on the mobile device's current location and the relevance of websites to that location. As the user moves to new locations, the URL list manager automatically updates the cache by removing websites associated with previous locations and adding websites relevant to new locations. This dynamic adjustment ensures that cache memory is continuously optimized to store only the most relevant websites, maintaining availability while minimizing memory consumption.
Solution Approach 2:
The system discards cached website content that is no longer relevant to the current location and recovers memory space for storing new location-specific websites. When the mobile device's location changes, the URL list manager identifies and removes websites associated with the previous location from the cache, thereby recovering memory resources that can be reallocated to store websites relevant to the new location.
3Adaptability or versatility
If location-aware URL management is implemented, then access to relevant websites is improved, but system complexity increases
Solution Approach 1:
The patent introduces a URL list manager as an intermediary component that mediates between the mobile device's location determination system and the website caching mechanism. This intermediary layer simplifies the overall system architecture by centralizing the logic for location-based URL selection and cache management, rather than requiring direct integration between multiple complex subsystems. The URL list manager queries databases, selects appropriate websites, and manages cache updates, thereby reducing system complexity while maintaining high adaptability.
4Measurement precision
If ambient wireless signals are used for location determination, then location accuracy is improved, but energy consumption increases
Solution Approach 1:
The system utilizes ambient wireless signals that are already present in the environment for multiple purposes: location determination, contextual factor analysis, and website relevance assessment. By leveraging these existing signals rather than deploying dedicated location-specific infrastructure, the system achieves accurate location determination without requiring additional energy-intensive hardware or transmission systems. The same wireless signals serve multiple functions, reducing overall energy consumption.
Data Source
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AI summary
Described herein are technologies for managing lists of universal resource locators ("URLs") for a mobile device based, at least in part, upon the determined location of the device. This Abstract is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.