Distributed Channel Sensing in Cognitive Wireless Multi-Hop Networks
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Solution Overview
Problem
In wireless multi-hop networks, the existing channel sensing methods lead to increased sensing delay and reduced data transmission efficiency due to all nodes participating in channel scanning, which results in transmission rate decreases and network disconnection failures.
Innovation Solution
A distributed channel sensing method where the network is logically partitioned into zones and cells, with priority-based channel sensing, where edge cells have the highest priority, border cells the second, and intra cells the lowest, and a leader node collects and multicasts channel information to reduce overhead and enhance data transmission reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all nodes participate in channel sensing, then channel information accuracy is improved, but transmission delay increases and data transmission efficiency decreases
Solution Approach 1:
The network is divided into multiple zones, and each zone is further divided into cells. Only specific nodes (edge nodes, border nodes, or intra nodes) within each cell perform channel sensing, rather than all nodes. This segmentation reduces the number of sensing operations while maintaining comprehensive channel coverage through hierarchical information aggregation.
Solution Approach 2:
Different types of nodes (edge, border, intra) have different sensing responsibilities and priorities based on their local positions within the zone-cell hierarchy. Edge nodes perform sensing with highest priority, border nodes with medium priority, and intra nodes with lowest priority, optimizing sensing distribution according to local network characteristics.
2Measurement precision
If sensing period is shortened to quickly detect channel state changes, then sensitivity for channel information increases, but transmission delay increases causing data transmission failure
Solution Approach 1:
The sensing period is made dynamic rather than fixed. The system adjusts the sensing period based on channel conditions and network state, allowing flexible adaptation between short sensing periods (when channel changes are frequent) and long sensing periods (when stability is prioritized), thus resolving the contradiction between sensitivity and reliability.
Solution Approach 2:
Channel sensing is performed periodically, but the period duration is optimized based on network conditions. The periodic sensing is coordinated across different nodes and zones to minimize interference with data transmission while ensuring timely detection of channel state changes.
3Adaptability or versatility
If all nodes independently determine scanning time to form network, then network formation flexibility is improved, but transmission rate decreases due to channel scanning overhead
Solution Approach 1:
Nodes within the same zone and cell coordinate their sensing activities, merging their sensing operations in time and space. This coordination reduces redundant sensing overhead while maintaining the flexibility of independent network formation, as nodes can still autonomously determine scanning times within the coordinated framework.
Data Source
AI summary
The present invention provides a method and system for performing distributed channel sensing in which channel information is collected by performing channel sensing according to a channel sensing priority which is determined according to a relative position of a cell to which a wireless connection device belongs from among a plurality of cells which logically partition the zone of the wireless network, and thus the overhead of the channel sensing which is generated in a cognitive wireless multi-hop network environment is reduced, and the transmission failure which occurs when the wireless connection device detects frequencies is reduced.