WiFi Connectivity Metric-Based Data Collection for Troubleshooting
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Solution Overview
Problem
Current methods for troubleshooting intermittent WiFi connectivity issues in enterprise local area networks are inefficient, as they lack a mechanism for real-time data collection, leading to difficulties in replicating problems and requiring physical presence or vendor assistance, which can result in delayed debugging and inaccurate data analysis.
Innovation Solution
A system that enables client devices to initiate data collection based on WiFi network connectivity metrics, allowing for real-time capture and transmission of environmental data when connectivity issues occur, using a client-side application and network infrastructure to store and analyze this data, even when the device is disconnected from the WiFi network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time data collection is implemented when connectivity issues occur, then troubleshooting accuracy is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary actions by having client devices continuously monitor WiFi connectivity metrics and automatically initiate data collection when anomalies are detected, rather than waiting for administrator intervention. This ensures environmental data is captured at the exact moment connectivity issues occur, improving troubleshooting accuracy without requiring complex manual coordination
Solution Approach 2:
The system enables self-service by allowing client devices to autonomously detect connectivity issues, trigger data collection, and transmit environmental data to administrators. This automated self-diagnosis capability reduces the need for complex manual troubleshooting processes while maintaining high measurement precision through real-time data capture
2Reliability
If administrator manually contacts network vendor for investigation, then technical expertise is improved, but time consumption increases
Solution Approach 1:
The system performs preliminary data collection and analysis before administrator or vendor intervention is needed. Client devices automatically capture environmental data when connectivity issues occur, so when administrators or vendors do become involved, they receive pre-collected accurate data immediately, eliminating the time delay associated with manual data gathering while maintaining the technical expertise benefit of vendor involvement
Solution Approach 2:
The system implements feedback by automatically transmitting collected environmental data to administrators and vendors, creating a closed-loop communication system. This ensures that technical experts receive relevant data immediately when connectivity issues occur, reducing their response time while maintaining the reliability of their technical analysis
3Measurement precision
If data collection is delayed until administrator review, then data accuracy is improved, but real-time capture capability deteriorates
Solution Approach 1:
The system performs preliminary data collection automatically when connectivity issues are detected, capturing environmental data in real-time before network conditions change. This preliminary capture ensures both real-time speed and data accuracy by recording conditions at the exact moment of the issue, eliminating the trade-off between delayed review and real-time capture
Solution Approach 2:
The system maintains continuity of useful action by continuously monitoring WiFi connectivity metrics and continuously collecting environmental data when issues are detected. This continuous automated process ensures that data is captured in real-time with high accuracy, as the collection process operates continuously without interruption or delay until the issue is resolved
Data Source
AI summary
The present disclosure discloses a method and network device for initiating data collection based on WiFi network connectivity metrics. Specifically, detects that a value for a WiFi network connectivity metric for a WiFi connection between a client device and a WiFi network meets a particular criteria. Responsive to determining that the value meets the particular criteria, the disclosed system initiates a data collection process for collecting data associated with one or more devices while the WiFi network connectivity metric meets the particular criteria. The determining operation may be performed by a network device in response to receiving a request from a user of the client device. Also, the disclosed system stores the data collected while the WiFi network connectivity metric meets the particular criteria.