Enhanced jump-stay rendezvous algorithm for cognitive radio networks

Zhiyong Lin, Hai LIU, Xiaowen CHU, Yiu Wing LEUNG

Research output: Contribution to journalArticlepeer-review

92 Citations (Scopus)

Abstract

Rendezvous is a fundamental operation for cognitive users to establish communication links. In [5], we proposed a jump-stay (JS) rendezvous algorithm which was shown to have the overall best performance. In this work, we propose an enhanced jump-stay (EJS) algorithm. Compared with JS, EJS lowers the upper-bounds of both the maximum time-to-rendezvous (MTTR) and the expected time-to-rendezvous (E(TTR)) from O(P^{3}) to O(P^{2}) under the asymmetric model, while keeping the same order O(P) of upper-bounds of MTTR and E(TTR) under the symmetric mode, where P is the smallest prime number greater than the total number of channels.

Original languageEnglish
Article number6574308
Pages (from-to)1742-1745
Number of pages4
JournalIEEE Communications Letters
Volume17
Issue number9
DOIs
Publication statusPublished - 2013

Scopus Subject Areas

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

User-Defined Keywords

  • channel hopping
  • Cognitive radio
  • rendezvous

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