Paired Device Network Selection Using Quality Scores
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Solution Overview
Problem
Existing systems fail to efficiently select the best network connection for paired devices due to varying network qualities based on connection type and location, leading to suboptimal performance.
Innovation Solution
A system that automatically compares network connections of paired devices, calculating quality scores based on parameters like throughput, latency, and signal strength, and switches connections to optimize performance by directing devices to higher quality networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If devices automatically switch between different network connections (wired, wireless, cellular) based on quality scores, then network performance and throughput are improved, but system complexity increases due to multiple connection types and quality evaluation mechanisms
Solution Approach 1:
The system performs self-service by automatically evaluating network quality scores and switching connections without user intervention. The processor autonomously monitors connection parameters, calculates quality scores for different network types, and directs data traffic to the optimal connection, eliminating the need for manual network selection while maximizing throughput.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring connection parameters (signal strength, latency, packet loss) and using this information to calculate quality scores. This feedback loop enables dynamic adjustment of network selection, allowing the system to adapt to changing network conditions and maintain optimal performance across varying environments.
2Measurement precision
If the system monitors and compares multiple network connection parameters continuously, then network selection accuracy is improved, but energy consumption increases
Solution Approach 1:
The system applies partial monitoring by selectively evaluating specific connection parameters (signal strength, latency, packet loss) rather than continuously monitoring all possible network parameters. This approach maintains sufficient measurement precision for accurate network quality assessment while reducing the energy overhead associated with comprehensive continuous monitoring.
3Adaptability or versatility
If the system establishes local connections between paired devices to enable network switching, then network adaptability is improved, but device complexity increases
Solution Approach 1:
The system uses an intermediary local connection (such as Bluetooth or direct wireless link) between paired devices to facilitate network information exchange and coordination. This intermediary connection enables one device to share network quality information with another, allowing flexible network switching while simplifying the coordination complexity through a dedicated communication channel designed for this purpose.
Data Source
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AI summary
In example implementations, methods for selecting a network connection for paired endpoint devices and an apparatus for performing the same is provided. The method includes establishing a connection to a mobile endpoint device. A first quality score associated with a wireless connection of the mobile endpoint device is calculated based on a parameter associated with the wireless connection between the mobile endpoint device and a wireless network. A network selection is made based on a comparison of the first quality score and a second quality score. The second quality score is associated with a connection between the computer and a communication network.