In-band bootstrapping in database-driven multi-hop cognitive radio networks

Juncheng Jia, Dajin Wang, Zhengqiu He, Jianxi Fan, Shukui Zhang, Jin Wang, Jianfeng Yan

Research output: Contribution to journalArticle

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.

Original languageEnglish
Pages (from-to)2542-2554
Number of pages13
JournalInternational Journal of Communication Systems
Volume29
Issue number17
DOIs
StatePublished - 25 Nov 2016

Keywords

  • TV whitespace networks
  • cognitive radio networks
  • network bootstrapping
  • spectrum database

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