Channel Diversity Awareness in Mesh Neighbor Selection
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Solution Overview
Problem
Existing wireless mesh networks face challenges in efficiently selecting neighboring nodes for data transmission in environments with limited broadband Internet connectivity, leading to suboptimal channel assignments that do not maximize RSSI values or minimize local link interference.
Innovation Solution
A channel-aware neighbor selection process that considers all neighboring mesh network devices simultaneously to optimize channel assignments, using a channel-aware neighbor selection manager to select channels that connect more nodes with higher RSSI values and reduce interference, implemented in a wireless mesh network architecture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional neighbor selection methods are used in wireless mesh networks, then the selection process is simple, but channel assignments are suboptimal leading to lower RSSI values and higher interference
Solution Approach 1:
The patent performs preliminary channel availability determination and RSSI evaluation for all neighboring nodes before final neighbor selection. The system proactively identifies suitable channels and predicts interference patterns in advance, allowing optimization of channel assignments before actual neighbor relationships are established, thereby improving connectivity quality without excessive complexity during runtime
Solution Approach 2:
The patent implements dynamic neighbor selection that adapts to current channel conditions and interference patterns. The system continuously evaluates RSSI values and channel availability, adjusting neighbor selections based on real-time wireless environment characteristics, enabling the network to maintain optimal connectivity despite changing conditions
2Reliability
If channel assignments are made without considering all neighboring nodes simultaneously, then the selection process is faster, but interference is not minimized and RSSI values are not maximized
Solution Approach 1:
The patent segments the channel assignment process into distinct phases: channel availability determination, RSSI evaluation, interference prediction, and final neighbor selection. By dividing the complex optimization problem into manageable segments that can be processed independently and in parallel, the system achieves global optimization across all neighboring nodes without excessive time loss
3Object-generated harmful factors
If more channels are used to connect neighboring nodes, then interference is reduced, but channel availability becomes more constrained
Solution Approach 1:
The patent changes the parameter evaluation from simple channel count to comprehensive channel quality assessment including RSSI values, interference patterns, and availability constraints. By optimizing based on multiple parameters rather than single-channel assignments, the system reduces interference while maintaining adaptability to various channel availability scenarios through intelligent parameter selection
Data Source
AI summary
Technology for neighbor selection with radio channel diversity awareness is described. In one embodiment, processing logic receives an RSSI value, a neighbor-sector identifier that identifies an antenna, and an unused channel list from each neighboring mesh network device. The processing logic generates a data structure with data in entries that are sorted according to an order of ascending or descending RSSI values. The processing logic performs a first search of the data structure to obtain a first set of radio channels for a first set of communication links and a second search to obtain a second set of radio channels for a second set of communication links. The processing logic determines that the second set of radio channels is higher than a second connectivity-quality metric value of the first set of radio channels and sends a neighbor pairing request to each neighboring mesh network device in the second set.