Distributed Channel Sampling for Mesh Network Optimization
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Solution Overview
Problem
Wireless mesh networks face challenges in selecting optimal radio channels due to limited energy detection capabilities of coordinator devices, which can lead to channel impairments and inefficiencies across the network's larger coverage area.
Innovation Solution
Distributed channel sampling across a mesh network, where a commissioning device propagates scanning requests to nodes, enabling them to perform energy detection scans and report measurements, allowing for a more comprehensive assessment of radio channel quality and selection of an optimal channel for the entire network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a coordinator device performs energy detection scans alone, then the scanning process is simple and quick, but the channel selection accuracy is insufficient due to limited receiver operating range
Solution Approach 1:
The patent divides the scanning task from being performed by a single coordinator device into multiple scanning nodes distributed across the mesh network. Each node performs energy detection scans independently within its local area, and results are aggregated to achieve comprehensive channel selection accuracy across the entire network coverage area.
Solution Approach 2:
The patent combines the scanning capabilities of multiple mesh network nodes into a unified scanning system. By merging the energy detection results from multiple nodes, the system achieves more accurate and comprehensive channel assessment than any single node could provide alone, resolving the contradiction between measurement precision and device complexity.
2Reliability
If the coordinator scans only at network startup, then the scanning process is fast and simple, but the channel selection becomes outdated when new radio signals appear over time
Solution Approach 1:
The patent implements periodic scanning where mesh network nodes perform energy detection scans at scheduled intervals rather than only at network startup. This periodic action ensures that channel conditions are continuously monitored and updated, maintaining reliability of channel selection while managing scanning time through regular rather than continuous operation.
Solution Approach 2:
The patent establishes a feedback mechanism where scanning results from multiple nodes are continuously collected, analyzed, and used to update channel selection decisions. This feedback loop ensures that the mesh network adapts to changing radio conditions over time, maintaining reliable channel selection without requiring constant scanning by all nodes simultaneously.
3Area of stationary object
If a single coordinator evaluates all channels, then the system structure is simple, but it cannot assess channels beyond its receiver operating range
Solution Approach 1:
The patent segments the channel evaluation task across multiple mesh network nodes distributed throughout the network area. Each node evaluates channels within its local receiver operating range, and the collective results from all nodes provide comprehensive coverage of the entire mesh network area, overcoming the limitation of any single coordinator's range.
Solution Approach 2:
The patent transitions from a centralized single-point evaluation approach to a distributed multi-point evaluation approach. By adding the spatial dimension of multiple evaluation points across the network, the system achieves comprehensive area coverage without requiring any single device to have extended range capabilities, effectively resolving the coverage area versus complexity contradiction.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances channel selection accuracy, reduces network complexity, and maintains optimal radio conditions over time by periodically scanning and adjusting the operating channel, thereby improving network performance and user management.
Implementation Method 1
a commissioning device propagates a scanning request, which includes a number of scanning parameters, to nodes in a mesh network, causing the nodes to perform energy detection scans using the scanning parameters
Data Source
AI summary
In embodiments of distributed channel sampling across a mesh network, a commissioning device propagates a scanning request, which includes a number of scanning parameters, to nodes in a mesh network, causing the nodes to perform energy detection (ED) scans using the scanning parameters. The commissioning device receives energy measurements in scanning reports from the nodes and analyzes the measurements to determine an operating channel for the mesh network. The commissioning device updates the operating channel in network configuration information that is sent to a leader device in the mesh network, for propagation to the mesh network.