TY - GEN
T1 - Improving data dissemination in multi-hop cognitive radio ad-hoc networks
AU - Rehmani, Mubashir Husain
AU - Viana, Aline Carneiro
AU - Khalife, Hicham
AU - Fdida, Serge
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - channel selection
KW - data dissemination
KW - multi-hop cognitive radio networks
UR - http://www.scopus.com/inward/record.url?scp=84869593700&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-29096-1_9
DO - 10.1007/978-3-642-29096-1_9
M3 - Conference contribution
AN - SCOPUS:84869593700
SN - 9783642290954
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
SP - 117
EP - 130
BT - Ad Hoc Networks - Third International ICST Conference, ADHOCNETS 2011, Revised Selected Papers
Y2 - 21 September 2011 through 23 September 2011
ER -