DocumentCode
1770462
Title
In-band bootstrapping in database-driven multi-hop cognitive radio networks
Author
Juncheng Jia ; Dajin Wang ; Jianxi Fan ; Shukui Zhang
Author_Institution
Sch. of Comput. Sci. & Technol., Soochow Univ., Suzhou, China
fYear
2014
fDate
10-13 Jan. 2014
Firstpage
611
Lastpage
616
Abstract
Obtaining spectrum information efficiently is key to cognitive radio networks (CRNs). The database-driven approach has emerged recently as an alternative or supplement for spectrum sensing, and has been quickly adopted by the government and the industry. Within database-driven CRNs, master devices obtain spectrum information by direct connection to a spectrum database, while slave devices can only access spectrum information indirectly via masters. Out-of-band connections with a second network interface which do not depend on the primary spectrum channels can be used for the communication of spectrum information among masters and slaves. Alternatively, the in-band approach completely based on primary spectrum channels can be used, which eliminates the need for out-of-band connections and eases the adoption of the database-driven spectrum sharing. In this paper, we study the in-band bootstrapping process for database-driven multi-hop CRNs, where master/slave devices form a multi-hop networks and slaves need multi-hop communications to obtain spectrum information from the master during bootstrapping. We propose several protocols to reduce the bootstrapping time and protocol overhead. According to the analysis and simulation results, our proposed protocols can greatly improve the performance.
Keywords
cognitive radio; signal detection; statistical analysis; CRN; database-driven multihop cognitive radio networks; database-driven spectrum sharing; direct connection; in-band bootstrapping; multihop communications; out-of-band connections; primary spectrum channels; spectrum database; spectrum information; Databases; Joining processes; Network topology; Protocols; Topology; Wireless communication; Wireless sensor networks; Cognitive radio networks; TV whitespace networks; network bootstrapping; spectrum database;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Communications and Networking Conference (CCNC), 2014 IEEE 11th
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4799-2356-4
Type
conf
DOI
10.1109/CCNC.2014.6866635
Filename
6866635
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