SURF: A distributed channel selection strategy for data dissemination in multi-hop cognitive radio networks

被引:83
作者
Rehmani, Mubashir Husain [1 ]
Viana, Aline Carneiro [2 ]
Khalife, Hicham [3 ]
Fdida, Serge [1 ]
机构
[1] Sorbonne Univ, Univ Paris 06, F-75005 Paris, France
[2] INRIA, Saclay Ile De France, F-91120 Palaiseau, France
[3] Thales Commun & Secur, Colombes, France
关键词
Multi-hop cognitive radio networks; Channel selection; Data dissemination; OPPORTUNISTIC SPECTRUM ACCESS;
D O I
10.1016/j.comcom.2013.03.005
中图分类号
TP [自动化技术、计算机技术];
学科分类号
080201 [机械制造及其自动化];
摘要
In this paper, we propose an intelligent and distributed channel selection strategy for efficient data dissemination in multi-hop cognitive radio network. Our strategy, SURF, classifies the available channels and uses them efficiently to increase data dissemination reliability in multi-hop cognitive radio networks. The classification is done on the basis of primary radio unoccupancy and of the number of cognitive radio neighbors using the channels. Through extensive NS-2 simulations, we study the performance of SURF compared to four related approaches. Simulation results confirm that our approach is effective in selecting the best channels for efficient communication (in terms of less primary radio interference) and for highest dissemination reachability in multi-hop cognitive radio networks. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:1172 / 1185
页数:14
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