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A cognitive vehicle network is date from Vehicular Ad hoc Networks (VANET), which is proposed to solve the problem of control channel and spectrum scarcity in VANET. To resolve channel conflict problem in channel switching in vehicle network, a new dynamic spectrum allocation algorithm (DSAARCC) is proposed. When the vehicle user chooses the channel, to minimize the average delay under the condition...
To resolve channel interference problem in cognitive wireless mesh network, a distributed both capacity and interference based channel assignment and routing algorithm is proposed. First, selecting the lowest cumulative cost route effectively according to the new routing metric, and then, selecting the channel with the minimum interference-capacity ratio. Simulation results show that compared to the...
To resolve channel interference and "Deafness" problem in cognitive wireless mesh network, a new Cross-layer Design based on Link Quality for Cognitive Wireless Mesh Networks is proposed. When the node chooses the channel, it is not only in accordance with the rank of channels, but also based on link quality. In this way, cross-layer technology can be effectively achieved, and network performance...
Nodes perceived environment and selected the appropriate route for business transfers in Cognitive Wireless Mesh Network. However, the variation of spectrum holes results in the change of routes which brings negative effects on the data transmission. An adaptive multi-path algorithm that uses reinforcement learning based on multi-agent is proposed in this paper. Better route can always be obtained...
Multiple channels can increase network capacity by transmitting traffic on different channels in an interference area. Firstly, an efficient distributed joint routing and channel allocation strategy for cognitive wireless mesh networks is proposed in this paper. The main purpose of this channel allocation strategy is to maintain the channel diversity in the neighborhood channels. Simulation results...
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