Taxonomy and challenges of rendezvous algorithms in cognitive radio networks

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

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

40 Citations (Scopus)

Abstract

Cognitive radio network (CRN) is a new networking paradigm in which unlicensed users with cognitive radios can opportunistically access idle channels in the spectrum of licensed users without causing interference. Rendezvous is a fundamental and essential operation for unlicensed users to meet and establish a communication link on a common channel, so that information exchange and data communication can be carried out. This article presents a comprehensive review of existing rendezvous algorithms and a possible taxonomy. We focus on the most representative rendezvous algorithms and summarize their characteristics. The article further highlights research directions of future study on rendezvous.

Original languageEnglish
Title of host publication2012 International Conference on Computing, Networking and Communications, ICNC'12
Pages645-649
Number of pages5
DOIs
Publication statusPublished - 2012
Event2012 International Conference on Computing, Networking and Communications, ICNC'12 - Maui, HI, United States
Duration: 30 Jan 20122 Feb 2012

Publication series

Name2012 International Conference on Computing, Networking and Communications, ICNC'12

Conference

Conference2012 International Conference on Computing, Networking and Communications, ICNC'12
Country/TerritoryUnited States
CityMaui, HI
Period30/01/122/02/12

Scopus Subject Areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

User-Defined Keywords

  • channel hopping
  • cognitive radios
  • rendezvous

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