2011 IEEE Eighth International Conference on Mobile Ad-Hoc and Sensor Systems 2011
DOI: 10.1109/mass.2011.82
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Adaptive Channel Assignment for Wireless Mesh Networks using Game Theory

Abstract: Abstract-Channel assignment was extensively researched for multi-radio wireless mesh networks, but still challenging when comes to implementation. In this paper we propose a semi-dynamic and distributed channel assignment called SICA based on the game theory formulation. To the best of our knowledge this is the first game formulation of channel assignment which takes the co-channel interference into account. SICA is an interference aware, distributed channel assignment which preserving the network connectivity… Show more

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Cited by 12 publications
(17 citation statements)
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“…Static CAs can be easily extended to be semidynamic [16][17][18][19][20][21][22][23][24][25][26] if the node refreshes the channels assigned to the radios on a regular time period. Semidynamic CAs adapt fast to the changes in the traffic pattern and the interference on the wireless medium from both internal and external sources.…”
Section: Figure 1 Multi-radio Wireless Mesh Networkmentioning
confidence: 99%
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“…Static CAs can be easily extended to be semidynamic [16][17][18][19][20][21][22][23][24][25][26] if the node refreshes the channels assigned to the radios on a regular time period. Semidynamic CAs adapt fast to the changes in the traffic pattern and the interference on the wireless medium from both internal and external sources.…”
Section: Figure 1 Multi-radio Wireless Mesh Networkmentioning
confidence: 99%
“…Channel assignment mechanisms are usually evaluated via simulations due to the multiple considerations and complex scenarios required to evaluate them [7][8][9][10]13,[22][23][24][25]. However, most of the current network simulators do not support multi-radio routers nor dynamic re-configuration of the radio interface, requiring modifications into their core level to allow the evaluation of CA mechanisms [29].…”
Section: Figure 1 Multi-radio Wireless Mesh Networkmentioning
confidence: 99%
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