Monitoring Device Diagnosing Network Issues via Distributed Data Collection
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Solution Overview
Problem
Network providers face challenges in diagnosing application-related network issues due to limited data from individual user devices, which can lead to inefficiencies in identifying the cause of network disruptions.
Innovation Solution
Implementing a system where a monitoring device instructs multiple user devices to download and run an application, collect specific parameters such as signal strength, and transmit this information back to the monitoring device for aggregation, enabling more accurate and efficient diagnosis of network problems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If network providers collect information from individual user devices to diagnose application-related network issues, then they can identify specific problems, but the accuracy and reliability of diagnosis remains insufficient due to limited data quantity
Solution Approach 1:
The patent transitions from collecting data from a single user device to collecting data from multiple user devices simultaneously. This dimensional expansion from one device to many devices enables the network provider to aggregate sufficient data quantity while maintaining diagnostic accuracy through statistical analysis across the distributed data set.
Solution Approach 2:
The patent combines information collected from multiple user devices into a unified data set that is analyzed together. By merging data from numerous devices experiencing network issues, the system achieves both sufficient data quantity and maintained accuracy through aggregated analysis patterns that emerge across the combined data.
2Productivity
If network providers manually collect information from user devices, then they can gather necessary data, but the process is time-consuming and inefficient
Solution Approach 1:
The patent implements self-service by having user devices automatically collect and transmit their own diagnostic information without manual intervention from the network provider. The devices autonomously monitor network parameters, gather relevant data, and send it back to the monitoring system, eliminating time-consuming manual collection processes.
Solution Approach 2:
The patent establishes a feedback loop where user devices continuously monitor network conditions, report status information back to the network provider, and enable automated analysis. This feedback mechanism allows real-time data collection and rapid diagnosis without manual inquiry, significantly improving diagnosis efficiency.
3Productivity
If network providers implement automated information collection systems, then diagnosis efficiency improves, but the complexity of the monitoring and coordination system increases
Solution Approach 1:
The patent applies universality by designing a multi-functional monitoring system that can collect various types of data (signal strength, connection status, application performance) from diverse user devices using a unified approach. This universal system handles multiple diagnostic needs through a single coordinated framework, managing complexity through functional consolidation.
Solution Approach 2:
The patent introduces an intermediary monitoring system that acts as a mediator between user devices and the network provider's analysis system. This intermediary component standardizes data collection, formats information uniformly, and coordinates communication, thereby reducing the complexity burden on the overall system while maintaining high collection efficiency.
Data Source
AI summary
A monitoring device may determine an application to monitor, may determine a parameter to monitor, where the parameter is associated with at least one of a network or a device, may determine user devices from which to collect the parameter, and may transmit, to the user devices, information that identifies the application and information that identifies the parameter. The monitoring device may receive, from the user devices, information that identifies values of the parameter, may analyze the values of the parameter, may determine, based on the analysis, that the application is a cause of a problem associated with the network or the device. The monitoring device may perform an action based on determining that the application is a cause of the problem.