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Channel Selection in Uncoordinated IEEE 802.11 Networks Using Graph Coloring.
Jose Manuel Gimenez-Guzman1, Ivan Marsa-Maestre2, Enrique de la Hoz2
1Universitat Politècnica de València, Departamento de Comunicaciones, 46022 València, Spain.
Sensors (Basel, Switzerland)
|July 14, 2023
Summary
Graph coloring optimizes Wi-Fi channel selection in decentralized networks. This study models channel allocation as a graph problem, revealing that empowering stations (STAs) over access points (APs) can improve performance.
Area of Science:
- Computer Science
- Network Engineering
- Applied Mathematics
Background:
- Decentralized Wi-Fi networks face challenges in channel selection to minimize interference and maximize throughput.
- Current uncoordinated channel selection methods often lead to suboptimal performance.
Purpose of the Study:
- To explore the application of graph coloring for Wi-Fi channel selection in uncoordinated settings.
- To evaluate the effectiveness of different channel selection techniques using a graph coloring model.
Main Methods:
- Modeled Wi-Fi channel selection as a graph coloring problem.
- Evaluated performance of various uncoordinated channel selection techniques in simulated residential building scenarios.
Main Results:
- Confirmed existing consensus on uncoordinated channel selection strategies.
- Identified scenarios where empowering stations (STAs) for channel selection outperforms access points (APs).
Conclusions:
- Graph coloring provides a valuable framework for analyzing and improving Wi-Fi channel allocation.
- Rethinking the decision-making locus (STA vs. AP) can lead to enhanced network performance.
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