Wireless Link Debugging via QoS Indicator Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wireless personal area networks (PANs) face challenges in diagnosing communication issues due to limited diagnostic capabilities, with current systems providing only 'pass/fail' results and lacking detailed information to identify the cause of problems, making it difficult for installers and field support to troubleshoot issues effectively.
Innovation Solution
A method and system for determining the operational status of wireless networks by monitoring quality of service (QoS) communication indicators, generating application link quality indicators (ALQIs), and transmitting them to a gateway node for corrective action, which includes changing channels, increasing transmission power, or adjusting receiver sensitivity, to improve communication link quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If only pass/fail diagnostic results are provided, then the system is simple to operate, but detailed information about communication link issues is lost
Solution Approach 1:
The diagnostic information is segmented into multiple QoS indicators (packet error rate, retry rate, corruption rate, route request rate) that can be independently monitored and analyzed. This allows detailed diagnostic data to be collected without overwhelming the system, as each indicator can be processed separately by the gateway node.
Solution Approach 2:
The gateway node acts as an intermediary that collects QoS indicators from multiple PAN nodes, processes this data, and generates comprehensive diagnostic reports. This intermediary approach allows detailed information gathering without requiring complex processing at each individual node, thus managing system complexity while preserving diagnostic information.
2Measurement precision
If multiple QoS indicators are monitored and processed, then diagnostic precision is improved, but processing time and computational resources increase
Solution Approach 1:
The system monitors multiple QoS indicators simultaneously, using partial information from each indicator to form a comprehensive diagnostic picture. By collecting more data than strictly necessary from each individual metric, the system achieves higher diagnostic precision while distributing the processing load across multiple simple measurements rather than one complex analysis.
Solution Approach 2:
Each PAN node autonomously generates and transmits its own QoS indicators to the gateway node without requiring complex coordination or processing. This self-service approach allows precise measurement of communication quality at each node while minimizing the time and computational resources required for data collection and processing.
3Ease of manufacture
If wireless communication is used between nodes, then installation complexity is reduced, but communication reliability deteriorates under certain conditions
Solution Approach 1:
The system continuously monitors QoS indicators including packet error rate, retry rate, and corruption rate to provide feedback on communication link quality. This feedback mechanism allows the system to detect and respond to reliability issues in wireless connections, compensating for the inherent unreliability of wireless communication while maintaining installation simplicity.
Solution Approach 2:
The diagnostic system proactively monitors communication quality before failures occur by tracking QoS indicators over time. By detecting trends in packet errors, retries, and corruptions, the system can identify potential reliability issues in wireless links before they cause complete communication failures, allowing preventive action to be taken.
Data Source
AI summary
Provided herein is a system and method for determining the status of one or more wireless communication links in a network such as a personal area network. One or more nodes within the PAN substantially continuously monitor a plurality of quality of service (QoS) communication indicators and generate a first application link quality indicator (ALQI) based on a first subset of the plurality of QoS communication indicators according to a first time period. The node can then modify the first ALQI with a second subset of the plurality of QoS communication indicators only when a first predetermined threshold number of occurrences of the second subset of the plurality of QoS communication indicators has occurred without regard to the first time period to form a first modified ALQI. The node can then report the modified ALQI to a coordinator node that can then act upon the modified ALQI to possibly correct one or more communication link problems to which the reported ALQI pertains to.