Automated Wireless Network Control System for Bottleneck Detection
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Solution Overview
Problem
Existing wireless network systems face issues such as communication bottlenecks, flapping, and sporadic decreases in Link Quality Indicator (LQI), which are difficult to identify and resolve manually, especially in complex network topologies.
Innovation Solution
An automated wireless network control system that exercises the network by transmitting a large volume of data to identify weaknesses and bottlenecks, using a Neighbor Node database to record LQI between nodes and suggest improvements, such as adding hard-wired connections or repeaters, to enhance communication pathways.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual mapping and monitoring of network nodes is used to identify communication bottlenecks, then network weaknesses can be detected, but the process is time-consuming and difficult to perform in complex network topologies
Solution Approach 1:
The wireless network control system automatically performs network analysis, bottleneck detection, and troubleshooting without requiring manual intervention. The system monitors network traffic, identifies communication bottlenecks, and generates diagnostic reports autonomously, transforming manual network analysis into an automated self-service process that eliminates time consumption while maintaining detection accuracy
Solution Approach 2:
The patent replaces manual mechanical network mapping and monitoring with an automated software-based control system that uses electronic data collection and analysis algorithms to identify communication bottlenecks, substituting human effort with automated computational processes
2Device complexity
If wireless network nodes rely on single connection paths between network clusters, then network simplicity is maintained, but communication bottlenecks and intermittent outages occur when link quality deteriorates
Solution Approach 1:
The wireless network control system implements dynamic path selection that automatically adapts to changing network conditions. When link quality deteriorates or bottlenecks are detected, the system dynamically reroutes traffic through alternative paths without requiring manual reconfiguration, maintaining network reliability while preserving topology simplicity through automated adaptive routing
Solution Approach 2:
The system continuously monitors network link quality and traffic flow, using this feedback information to automatically adjust routing decisions and identify bottlenecks. The feedback mechanism enables the network to respond to changing conditions in real-time, improving reliability without increasing structural complexity
3Extent of automation
If automated network control systems rely on cloud connectivity for troubleshooting, then centralized control is achieved, but the system becomes vulnerable to cloud outages and cannot operate independently
Solution Approach 1:
The patent segments network control functionality into local and cloud components, with critical troubleshooting and diagnostic capabilities residing locally at the wireless network control system. This segmentation allows the automated network control to function independently when cloud connectivity is unavailable, while still enabling optional cloud-based management when desired
Data Source
AI summary
A system and method for identifying weaknesses in a wireless network, wherein a wireless network control system exercises a wireless network by transmitting a large volume of data between nodes in order to identify network weaknesses and communication bottlenecks, wherein the wireless network control system is automated so that it may perform identification of network problems without user intervention, and wherein the wireless network control system may make suggestions as to how the network weaknesses and communication bottlenecks may be repaired.