M2M Device Connectivity Diagnosis via Nearby Reference Devices
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Solution Overview
Problem
In M2M network communications, it is challenging to determine whether connectivity issues arise from a device or the network, as information about device locations and connectivity statuses is not readily known, making it difficult to identify the source of the problem.
Innovation Solution
The method involves identifying a target device, determining its location and last known connectivity information, and searching for nearby devices with similar characteristics to generate a performance event identifier, which helps determine if the issue is with the device or the network, using a mashup of indexed information from various network components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional network communications are used, then devices can communicate across the network, but information about device locations and connectivity statuses is not readily known, making it difficult to determine the source of connectivity issues
Solution Approach 1:
The patent introduces an intermediary system that acts as a mediator between devices and the network operator. This intermediary collects device location information, connectivity status, and performance metrics, then presents this information in a unified, accessible format to network operators. The intermediary resolves the contradiction by making hidden information available without requiring complex changes to the existing network infrastructure or device architecture.
Solution Approach 2:
The patent creates a universal information access mechanism that serves multiple functions: tracking device locations, monitoring connectivity status, analyzing performance metrics, and enabling troubleshooting. This multi-functional approach consolidates various information-gathering functions into a single system, making device information readily available without increasing overall network complexity.
2Measurement precision
If device information is collected and analyzed, then connectivity issues can be accurately diagnosed, but the system requires processing and storing information from multiple network components
Solution Approach 1:
The patent segments the information processing task into distinct components: device information collection, data aggregation, analysis, and presentation. Each component handles a specific aspect of the diagnostic process, allowing the system to achieve high measurement precision while managing complexity through modular organization. This segmentation enables accurate connectivity issue diagnosis without overwhelming the system with monolithic processing requirements.
Solution Approach 2:
The intermediary system serves as a buffer between raw network data and diagnostic analysis. It collects information from multiple network components, processes and structures the data, then presents it in an analysis-ready format. This mediation reduces the processing complexity for diagnostic functions while maintaining high diagnostic accuracy through comprehensive data collection and structured presentation.
Data Source
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AI summary
The present invention relates generally to network communications, and more particularly to detecting devices having communications issues on a network. The present invention provides for determining a communications performance status in relation to a device on a communications network experiencing a communications issue by identifying the device, locating reference devices in relation to the identified device, and determining where a performance deficiency may exist in relation to the identified device and the communications network.