Paper Info
Title
Joint routing and channel assignment algorithms in cognitive wireless mesh networks
Abstract
AbstractMultiple channels can increase network capacity by transmitting traffic on different channels in an interference area. To resolve the channel interference problem in cognitive wireless mesh networks, first, a new channel assignment algorithm based on hierarchy interference model for the cognitive wireless mesh networks is proposed in this paper. Second, a distributed capacity and interference based channel assignment and routing algorithm is proposed. Third, an efficient channel diversity based channel allocation algorithm is proposed. The main purpose of this channel allocation algorithm is to maintain the channel diversity in the neighborhood channels. Fourth, a novel joint multi-path routing and channel assignment algorithm based on path crossing is proposed. On the basis of simulations, results show that compared with the link-based channel allocation algorithm in wireless multi-channel networks, the new four algorithms have an obvious advantage in the performance of delay and throughput, and the performance of the joint multi-path routing and channel assignment algorithm is the best. Lastly, a channel merging algorithm is also proposed in the channel constrained situation. Simulation results also show that, after the implementation of the channel merging algorithm, the network average throughput and delay performance have been further improved significantly. Copyright © 2012 John Wiley & Sons, Ltd.
Year
DOI
Venue
2014
10.1002/ett.2560
Periodicals
Field
DocType
Volume
Wireless,Computer science,Computer network,Algorithm,Communication channel,Interference (wave propagation),Throughput,Wireless mesh network,Interference problem,Merge (version control),Channel allocation schemes
Journal
25
Issue
ISSN
Citations 
3
2161-3915
10
PageRank 
References 
Authors
0.52
9
5
Name
Order
Citations
PageRank
Guoan Zhang15214.85
Jin-yuan Gu2100.86
Zhihua Bao34410.32
Chen Xu4353.49
Shibing Zhang5397.03