Wireless Mesh Network Mapping and Visualization System
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Solution Overview
Problem
Current wireless mesh networks are challenging to monitor and maintain due to their dynamic topology, where devices frequently disconnect and reconnect, making it difficult to track and display the network structure effectively.
Innovation Solution
A system comprising a processor and memory that receives network data packets from devices, builds a map of the mesh network, and displays it on a user interface, including connection strength information, and can detect changes, log data, and request reconfigurations as needed, ensuring real-time monitoring and updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If wireless mesh networks operate with dynamic topology where devices frequently disconnect and reconnect, then network adaptability and versatility are improved, but network monitoring and mapping become difficult and complex
Solution Approach 1:
The system continuously receives feedback from network devices about their connection status and topology information, automatically updating the network map to reflect current network conditions. This feedback mechanism enables the system to adapt to dynamic topology changes while maintaining an accurate, up-to-date network representation.
Solution Approach 2:
Network devices autonomously report their own status and connection information without requiring external intervention. The system leverages this self-service capability where devices manually populate the network map with their own data, reducing the monitoring complexity burden on the central system.
2Measurement precision
If the network map is updated continuously to reflect dynamic changes, then measurement precision of network status is improved, but loss of time and processing resources increase
Solution Approach 1:
The system implements periodic updates of the network map at predetermined intervals, balancing the need for current network information with processing resource consumption. This periodic action ensures the map remains sufficiently accurate for monitoring purposes while avoiding excessive processing overhead from continuous updates.
Solution Approach 2:
The network map transitions from a static representation to a dynamic structure that automatically adapts to network changes. The map is updated in response to detected topology changes, ensuring precision is maintained only when necessary, thereby reducing unnecessary processing time.
3Measurement precision
If detailed connection strength information is collected and displayed for all network devices, then measurement precision of connection quality is improved, but device complexity and data processing requirements increase
Solution Approach 1:
The system collects and processes connection strength information specifically for network devices that require monitoring, rather than uniformly processing all possible data. This localized approach to data collection maintains measurement precision for relevant connections while minimizing overall data processing complexity.
Data Source
AI summary
According to at least one embodiment, a system for mapping a mesh network is provided. The system includes a memory and at least one processor coupled to the memory. The at least one processor is configured to receive at least one network data packet from at least one network device in the mesh network; build a map of the mesh network including a representation of the at least one network device using information contained in the at least one network data packet; and display the map on a user interface. In some embodiments, the at least one network includes a plurality of network devices.