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- W2364671975 abstract "Due to the limited radio spectrum resources and the differences of link loads,network congestion becomes one of the key issues in cognitive radio wireless mesh network.For this reason,by quantifying transmission power levels,the effect of network interference,link capacity and flow conservation are considered comprehensively.As a contribution,the congestion avoidance model joint with power control and channel assignment is presented.And then,a nested optimization technique is proposed to avoid the network congestion,which includes a genetic approach for joint power control and channel assignment,a genetic approach for route scheduling and an optimal routing algorithm.In order to guarantee the individual validity and fast convergence,the rules of combinatorial coding and sequence-based coding are designed respectively with appropriate constraint control mechanisms.Extensive simulation results show that the algorithm can effectively improve the network throughput,and meet the real-time data transfer requirements." @default.
- W2364671975 created "2016-06-24" @default.
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- W2364671975 date "2013-01-01" @default.
- W2364671975 modified "2023-09-23" @default.
- W2364671975 title "Joint Power Control and Channel Assignment for Congestion Avoidance in Cognitive Radio Mesh Network" @default.
- W2364671975 hasPublicationYear "2013" @default.
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