In-Band Bootstrapping in Database-Driven Multi-Hop Cognitive Radio Networks
Document Type
Article
Publication Date
11-25-2016
Abstract
Database-driven approach has emerged recently as an alternative or supplement for spectrum sensing for cognitive radio networks (CRNs). 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. 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 start with the basic design of in-band bootstrap protocol, whose performance is unsatisfactory of protocol overhead and bootstrap time. Then we propose 2 enhancements: first, we incorporates the recursive fractional spectrum information query scheme to reduce protocol overhead; then we propose the prefetch scheme to reduce the bootstrap time. According to the analysis and simulation results, our proposed protocols can greatly improve the performance: the recursive fractional spectrum information query enhancement reduces up to 40% of the overhead, the prefetch enhancement reduces more than 20% of the bootstrap time.
DOI
10.1002/dac.3201
Montclair State University Digital Commons Citation
Jia, Juncheng; Wang, Dajin; He, Zhengqiu; Fan, Jianxi; Zhang, Shukui; Wang, Jin; and Yan, Jianfeng, "In-Band Bootstrapping in Database-Driven Multi-Hop Cognitive Radio Networks" (2016). Department of Computer Science Faculty Scholarship and Creative Works. 338.
https://digitalcommons.montclair.edu/compusci-facpubs/338