Wi-Fi Network Ranking by Load and Application Needs
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Solution Overview
Problem
Existing user interfaces for connecting to Wi-Fi networks provide insufficient information for users to make optimal choices, especially when multiple networks have similar signal strengths, leading to potential congestion, low bandwidth, or device connection limits.
Innovation Solution
A method that involves receiving network load information, processing it to determine network loads, and ranking Wi-Fi networks based on selected applications, considering factors like available bandwidth, latency, and device connections to improve sorting and selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users connect to Wi-Fi networks based on signal strength alone, then connection simplicity is improved, but network performance deteriorates due to congestion and bandwidth limitations
Solution Approach 1:
The system performs preliminary assessment of network load conditions (congestion, bandwidth, device limits) before presenting network options to the user. This advance evaluation allows the system to pre-filter and rank networks based on both signal strength and performance metrics, so users can connect without needing to understand technical network parameters.
Solution Approach 2:
The patent introduces an intermediary layer (the network sorting system) between the user and the Wi-Fi networks. This intermediary automatically evaluates multiple networks based on comprehensive criteria including signal strength, congestion levels, bandwidth availability, and device connection limits, then presents optimized recommendations to the user without exposing complex technical details.
2Device complexity
If users are provided with minimal network information (name and signal strength), then user interface simplicity is improved, but decision quality deteriorates due to insufficient information about congestion and bandwidth
Solution Approach 1:
The patent segments network information into two categories: essential display information (network name, signal strength) that maintains UI simplicity, and analytical evaluation data (congestion level, bandwidth, device limits) that is processed in the background. This segmentation allows the interface to remain simple while the system comprehensively evaluates networks using detailed metrics.
Solution Approach 2:
The system replaces manual user assessment of network quality with automated computational evaluation. Instead of requiring users to manually check multiple network parameters, the system automatically gathers and analyzes comprehensive network status information including congestion, bandwidth, and device limits, then presents processed recommendations.
3Measurement precision
If users manually evaluate multiple network parameters, then network selection accuracy is improved, but user effort and time increase
Solution Approach 1:
The system performs self-service by automatically gathering, evaluating, and ranking Wi-Fi networks based on multiple criteria including signal strength, congestion, bandwidth, and device connection limits. This automated self-evaluation eliminates the need for users to manually assess each parameter, providing accurate network recommendations instantly without requiring user time or expertise.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring network conditions and updating network rankings in real-time. This feedback loop ensures that the most accurate and current network information is presented to users, maintaining high selection accuracy while the system handles all evaluation work automatically.
Data Source
AI summary
Systems and methods are provided for sorting Wi-Fi networks. Network load information associated with each of a plurality of Wi-Fi networks is received at a computing device, and the received network load information is processed to determine a network load associated with each of the plurality of Wi-Fi networks. An application is selected at the computing device, and each Wi-Fi network of the plurality of Wi-Fi networks is ranked based on the determined network loads and the selected application. An ordered list of indicators for at least a subset of the plurality of Wi-Fi networks is generated for output and based on the ranking.