WLAN Access Point Dynamic Data Collection
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Solution Overview
Problem
Existing network management systems in WLANs face challenges in scaling to handle large numbers of access points and electronic devices, leading to data collection inefficiencies, delays, and potential data loss due to overwhelming data volumes.
Innovation Solution
An access point and controller system that dynamically modifies data collection parameters, such as aggregation and reporting intervals, based on real-time queue lengths and service level agreements, to prevent data loss and maintain data precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the network management system continuously collects data from all electronic devices and access points, then data completeness is improved, but the controller becomes unable to handle the data volume efficiently, causing delays and data loss
Solution Approach 1:
The patent implements dynamic adjustment of data collection parameters including measurement interval, aggregation interval, and reporting interval. The system continuously monitors queue lengths at the controller and adjusts these intervals in real-time to match the current data handling capacity, transforming a static data collection system into a dynamic one that adapts to varying loads and prevents data loss while maintaining efficiency
Solution Approach 2:
The system changes key parameters (measurement interval, aggregation interval, reporting interval) based on controller queue length conditions. When queues exceed thresholds, the system increases these intervals to reduce data collection rate, and decreases them when queues are manageable, thereby controlling data volume to match processing capacity and prevent data loss
2Measurement precision
If the measurement interval is reduced to collect more frequent data, then data precision is improved, but the data volume increases causing controller backlog and delays
Solution Approach 1:
The measurement interval is made dynamic rather than fixed. The system adjusts the measurement interval based on real-time controller queue length monitoring, allowing frequent measurements when the controller can handle the load (maintaining precision) and reducing measurement frequency when queues build up (preventing delays and backlog)
Solution Approach 2:
The system changes the measurement interval parameter in response to controller load conditions. When queue length indicates manageable load, the system uses smaller measurement intervals for higher precision. When queue length exceeds thresholds, the system increases the measurement interval to reduce data generation rate, thereby preventing controller backlog while adapting precision to current capacity
3Productivity
If the aggregation interval is increased to reduce data volume, then controller load is reduced, but data sampling quality degrades
Solution Approach 1:
The aggregation interval is dynamically adjusted based on controller queue length. When the controller is under light load, the system uses shorter aggregation intervals to maintain high data sampling quality. When the controller queue exceeds thresholds indicating overload, the system increases the aggregation interval to reduce the volume of aggregated data sent to the controller, thereby balancing processing capacity with data quality
Solution Approach 2:
The system changes the aggregation interval parameter based on real-time controller load assessment. Under normal conditions, smaller aggregation intervals preserve data sampling quality. When queue length monitoring detects controller overload, the system increases the aggregation interval to reduce data volume and prevent backlog, thus adapting sampling quality to current processing capacity
Data Source
AI summary
A controller and one or more access points that dynamically modify data collection in a system that includes a WLAN is described. In particular, during operation the access point may receive data for a type of data from an electronic device in the WLAN. Then, access point may aggregate the data based on an aggregation interval, where the aggregation interval is predefined for a group of types of data that includes the type of data. Moreover, the access point may transmit the aggregated data to the controller based on a reporting interval, where the reporting interval is predefined for the group of types of data. Next, the access point may receive an instruction from the controller to modify the aggregation interval and/or the reporting interval for the group of types of data. Furthermore, the access point may modify the aggregation interval and/or the reporting interval based on the instruction.