Wireless Access Point Profile Analysis for User Selection
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Solution Overview
Problem
Users accessing wireless networks via wireless access points have limited information about available access points, such as SSID and MAC address, which does not meet diverse user requirements for selecting suitable access points, especially with increasing network access demands.
Innovation Solution
A method and device for analyzing a wireless access point profile by obtaining access point-related information, including historical connection and provider-related data, to enrich the profile with various types of information, allowing for better user experience and providing basis for further applications like discount information and recommendation services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If only basic access point information (SSID, MAC address) is provided, then the system complexity remains low, but the information completeness for user decision-making is insufficient
Solution Approach 1:
The access point information is segmented into multiple dimensions: basic identification information (SSID, MAC address), connection quality metrics (connection count, signal strength), provider information (business type, location), and temporal patterns (connection timing). This segmentation allows comprehensive information collection while organizing data in a manageable structure that reduces overall system complexity.
Solution Approach 2:
The patent transitions from providing only basic identification information to multi-dimensional access point profiling by adding spatial dimensions (location, coverage area), temporal dimensions (connection timing patterns), and contextual dimensions (provider business type, service quality metrics). This dimensional expansion comprehensively addresses information needs without proportionally increasing complexity.
2Adaptability or versatility
If comprehensive access point profiling is implemented, then user experience and access point selection quality improve, but the data processing and storage requirements increase
Solution Approach 1:
The patent extracts and separates key profiling features from the overall access point data: connection quality metrics (connection count, signal strength), provider characteristics (business type, location), and usage patterns (temporal distribution). By extracting only the most relevant features rather than storing all raw data, the system provides comprehensive profiling while minimizing data volume requirements.
Solution Approach 2:
The system performs preliminary data processing and profiling before user queries by pre-calculating connection metrics, categorizing provider information, and organizing access point characteristics. This preliminary action reduces the need for extensive real-time data processing when users need to select access points, thereby reducing immediate data handling requirements while maintaining comprehensive profiling capabilities.
3Measurement precision
If multiple access point parameters are collected and analyzed, then the precision of access point recommendation improves, but the time required for profile analysis increases
Solution Approach 1:
The patent implements preliminary profiling where access point characteristics, connection metrics, and provider information are pre-collected and organized into structured profiles before users need recommendations. Connection counts, signal strength metrics, and provider categorizations are pre-calculated and stored, enabling rapid retrieval and comparison when users seek access point recommendations, thus maintaining high precision while minimizing analysis time.
Solution Approach 2:
The system dynamically adjusts the profiling depth and analysis granularity based on user needs and context. For routine recommendations, pre-calculated profiles are used for rapid response. When more detailed analysis is required, the system selectively deepens the analysis of specific parameters rather than re-analyzing all parameters, optimizing the balance between precision and analysis time.
Data Source
AI summary
The present application is to provide a method and device for analyzing a profile of a wireless access point. The present application includes determining, according to access point related information, profile information about a wireless access point, by obtaining the access point related information about the wireless access point, such as historical connection related information about the wireless access point and provider related information about the wireless access point, so that the wireless access point establishes its own profile using various types of information associated therewith, thereby greatly enriching the information about the wireless access point, providing a better experience for a user of the wireless access point, and also providing a basis and premise for further associated application based on the profile information about the wireless access point at the same time.