Wireless Network Selection Using Expanded Connection Metadata
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Solution Overview
Problem
Conventional methods for selecting wireless networks fail to consider factors like connection quality, security, and internet availability, often requiring manual trial-and-error to find a suitable network.
Innovation Solution
A facility that uses expanded metadata to classify and select wireless networks based on signal strength, security, bandwidth, and internet connectivity, allowing for automated selection without repeated joins.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional methods automatically select the network with the highest signal strength, then the selection process is simple and fast, but the connection quality, security, and internet availability cannot be guaranteed
Solution Approach 1:
The system performs preliminary assessments of multiple networks by gathering metadata about connection quality, security protocols, bandwidth capabilities, and internet availability before making a selection. This advance evaluation ensures that the chosen network meets all required criteria without needing multiple trial-and-error connection attempts.
Solution Approach 2:
The patent introduces an intermediary selection mechanism that acts between the device and available networks. This intermediary evaluates networks based on expanded metadata criteria (connection quality, security, bandwidth, internet availability) and mediates the connection process, preventing direct trial-and-error connections to unsuitable networks.
2Reliability
If the system performs trial-and-error joins to find a suitable network, then it can find an acceptable network, but it consumes excessive resources and time
Solution Approach 1:
The system performs preliminary assessments of multiple networks by gathering metadata about connection quality, security protocols, bandwidth capabilities, and internet availability before making a selection. This advance evaluation ensures that the chosen network meets all required criteria without needing multiple trial-and-error connection attempts.
Solution Approach 2:
The system uses feedback from metadata collection about network conditions, connection quality metrics, security capabilities, and internet availability to make an informed selection. This feedback mechanism eliminates the need for trial-and-error joins by providing sufficient information upfront to choose the right network on the first attempt.
3Adaptability or versatility
If the system asks the user to manually select among networks, then the user can choose based on their preferences, but it requires manual intervention and is inconvenient
Solution Approach 1:
The system performs automatic network selection based on expanded metadata criteria (connection quality, security, bandwidth, internet availability) without requiring user intervention. The device serves itself by evaluating available networks and making the connection decision autonomously, eliminating the need for manual user input while ensuring high-quality connections.
Solution Approach 2:
The system changes the selection parameters from simple signal strength to expanded metadata including connection quality, security protocols, bandwidth capabilities, and internet availability. This parameter expansion enables automatic selection that balances multiple factors, providing both convenience and adaptability.
4Reliability
If the system considers multiple factors like connection quality, security, and bandwidth, then the network selection quality improves, but the selection process becomes more complex
Solution Approach 1:
The system segments the network selection process into distinct evaluation phases: metadata collection, criteria assessment, and final selection. By dividing the complex multi-factor evaluation into manageable segments, the system can consider multiple parameters (connection quality, security, bandwidth, internet availability) without overwhelming complexity.
Solution Approach 2:
The system changes the selection parameters from simple signal strength to expanded metadata including connection quality, security protocols, bandwidth capabilities, and internet availability. This parameter expansion enables automatic selection that balances multiple factors, providing both convenience and adaptability.
Data Source
AI summary
A facility for generating a network announcement message for a first communication device is described. In the message generated by the facility, first data encodes values determined for the first communication device of standard attributes specified by a wireless networking standard. Second data encoded values determined for the first communication device of expanded attributes including at least one expanded attribute characterizing the first communication device's connection to an internetwork. The message is usable by a second communication device that receives the message to compare the first communication device to other communication devices to which the second communication device is capable of connecting.


