Research Article
Improving Data Dissemination in Multi-hop Cognitive Radio Ad-Hoc Networks
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@INPROCEEDINGS{10.1007/978-3-642-29096-1_9, author={Mubashir Rehmani and Aline Viana and Hicham Khalife and Serge Fdida}, title={Improving Data Dissemination in Multi-hop Cognitive Radio Ad-Hoc Networks}, proceedings={Ad Hoc Networks. Third International ICST Conference, ADHOCNETS 2011, Paris, France, September 21-23, 2011, Revised Selected Papers}, proceedings_a={ADHOCNETS}, year={2012}, month={5}, keywords={multi-hop cognitive radio networks channel selection data dissemination}, doi={10.1007/978-3-642-29096-1_9} }- Mubashir Rehmani
Aline Viana
Hicham Khalife
Serge Fdida
Year: 2012
Improving Data Dissemination in Multi-hop Cognitive Radio Ad-Hoc Networks
ADHOCNETS
Springer
DOI: 10.1007/978-3-642-29096-1_9
Abstract
In this paper, we present SURF, a distributed channel selection strategy for efficient data dissemination in multi-hop cognitive radio ad-hoc networks (CRNs). SURF classifies the available channels on the basis of primary radio unoccupancy and the number of cognitive radio neighbors using the channels. Through extensive NS-2 simulations, we compare the performance of SURF with three related approaches. Simulation results confirm that SURF is effective in selecting the best channels for efficient communication and for highest dissemination reachability in multi-hop CRNs.
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