Neighbor discovery in traditional wireless networks and cognitive radio networks: Basics, taxonomy, challenges and future research directions

Athar Ali Khan, Mubashir Husain Rehmani, Yasir Saleem

Research output: Contribution to journalReview Articlepeer-review

27 Citations (Scopus)

Abstract

Cognitive radio network is designed to opportunistically exploit the licensed band. To deploy a cognitive radio network, nodes need to perform the neighbor discovery process in order to enable communication and connectivity in the network. Neighbor discovery not only helps in successful and efficient communication in cognitive radio networks but also provides solutions to a majority of other traditional wireless network problems, such as gossiping or broadcasting a message, a global common control channel allocation, etc. In this paper, we provide a survey on neighbor discovery for traditional wireless networks and cognitive radio networks. In this perspective, we first provide basics and features of neighbor discovery, as well as, the challenges when moving from traditional wireless networks towards cognitive radio networks, in order to pave the way for a better understanding of the neighbor discovery in cognitive radio networks. We provide detailed taxonomy of neighbor discovery protocols in traditional wireless networks and cognitive radio networks. Finally, open issues, challenges, and future research directions have been highlighted for neighbor discovery in cognitive radio networks.

Original languageEnglish
Pages (from-to)173-190
Number of pages18
JournalJournal of Network and Computer Applications
Volume52
Early online date17 Mar 2015
DOIs
Publication statusPublished - 30 Jun 2015
Externally publishedYes

Keywords

  • Neighbor discovery
  • Wireless Networks
  • Cognitive Radio Networks
  • Gossiping
  • Distributed cooperation
  • Cognitive radio network
  • Common control channel

Fingerprint

Dive into the research topics of 'Neighbor discovery in traditional wireless networks and cognitive radio networks: Basics, taxonomy, challenges and future research directions'. Together they form a unique fingerprint.

Cite this