DocumentCode :
623734
Title :
Virtual backbone construction for cognitive radio networks without common control channel
Author :
Ying Dai ; Jie Wu ; ChunSheng Xin
Author_Institution :
Dept. of Comput. & Inf. Sci., Temple Univ., Philadelphia, PA, USA
fYear :
2013
fDate :
14-19 April 2013
Firstpage :
1456
Lastpage :
1464
Abstract :
The advantages of virtual backbones have been proven in wireless networks. In cognitive radio networks (CRNs), virtual backbones can also play a critical role in both routing and data transport. However, the virtual backbone construction for CRNs is more challenging than for traditional wireless networks because of the opportunistic spectrum access. Moreover, when no common control channel is available to exchange the control information, this problem is even more difficult. In this paper, we propose a novel approach for constructing virtual backbones in CRNs, without relying on a common control channel. Our approach first utilizes the geographical information to let the nodes of a CRN self-organize into cells. Next, the nodes in each cell form into clusters, and a virtual backbone is established over the cluster heads. The virtual backbone is then applied to carry out the end-to-end data transmission. The proposed virtual backbone construction approach requires only limited exchange of control messages. It is efficient and highly adaptable under the opportunistic spectrum access. We evaluate our approach through extensive simulations.
Keywords :
cognitive radio; data communication; radio networks; radio spectrum management; CRN; cognitive radio networks; common control channel; end-to-end data transmission; opportunistic spectrum access; virtual backbone construction; wireless networks; Availability; Cognitive radio; Data communication; Global Positioning System; Organizations; Routing; Wireless networks; Cognitive radio networks; end-to-end data transmission; self-organization; virtual backbone construction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INFOCOM, 2013 Proceedings IEEE
Conference_Location :
Turin
ISSN :
0743-166X
Print_ISBN :
978-1-4673-5944-3
Type :
conf
DOI :
10.1109/INFCOM.2013.6566940
Filename :
6566940
Link To Document :
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