Wireless Mesh Network Beacon Device Traffic Monitoring
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Solution Overview
Problem
Wireless mesh networks face challenges in detecting and managing abnormal beacon devices due to failures or hacking, which can lead to network disruptions and loss of connectivity, as existing methods lack efficient mechanisms for real-time monitoring and remote troubleshooting.
Innovation Solution
A method and device for monitoring service traffic between a service device and user terminal devices to detect abnormal beacon devices, increasing transmission power to enhance coverage, and allowing remote checking or setting changes through administrator or user terminal devices, ensuring seamless connectivity and network management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If beacon devices are deployed to expand wireless mesh network coverage, then network scalability and flexibility are improved, but network reliability deteriorates due to potential failures or hacking of individual beacon devices
Solution Approach 1:
The system performs preliminary actions by continuously monitoring service traffic patterns and establishing baseline behaviors for each beacon device before abnormalities occur. This enables early detection of deviations from normal operation, allowing the network to identify and isolate problematic beacon devices before they cause widespread failures, thus maintaining reliability while enabling scalability
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring service traffic and providing real-time information about beacon device status to the network management system. When abnormalities are detected, the system feeds back control signals to reroute traffic or isolate affected devices, creating a closed-loop control system that maintains network reliability as the network scales
2Reliability
If real-time monitoring of service traffic is implemented to detect abnormal beacon devices, then network reliability is improved, but device complexity increases
Solution Approach 1:
The monitoring system performs self-service by automatically analyzing service traffic patterns and identifying abnormal beacon devices without requiring manual intervention. The system uses automated algorithms to detect deviations from normal traffic patterns, generate alerts, and initiate corrective actions, reducing the need for complex manual monitoring infrastructure while maintaining high reliability
Solution Approach 2:
The system monitors changes in traffic parameters such as data volume, transmission frequency, and protocol patterns to detect abnormalities. By focusing on specific measurable parameters rather than comprehensive system analysis, the monitoring mechanism achieves high reliability with reduced complexity, as it only tracks critical traffic characteristics rather than all possible device states
3Adaptability or versatility
If coverage of beacon devices is increased by adjusting transmission power, then network scalability is improved, but energy consumption increases
Solution Approach 1:
The system dynamically adjusts transmission power of beacon devices based on real-time network conditions, traffic patterns, and detected abnormalities. Rather than maintaining fixed high power for scalability, the system optimizes power levels adaptively - increasing power only when and where needed to maintain coverage and reliability, thereby reducing overall energy consumption while preserving network scalability
Solution Approach 2:
The system applies different transmission power levels to different beacon devices based on their specific locations, traffic loads, and network roles. Instead of uniformly increasing power across all devices, the system locally optimizes power settings for each beacon device, allowing scalability in high-traffic areas while conserving energy in low-traffic regions
Data Source
AI summary
Provided are a wireless mesh network management method for monitoring service traffic between a service device and a user terminal device having recognized a beacon device in its vicinity, detecting an abnormal beacon device or an abnormal wireless AP device that does not operate normally according to a change in the service traffic, and changing a state of the abnormal beacon device or the abnormal wireless AP device, a device for implementing the method, and a computer-readable storage medium on which a computer program for implementing the method is stored.


