Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering

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Cluster Modelling for Cognitive Radio Ad-hoc Networks Using Graph Theory

Authors
N. Mansoor, S. Baharun, A.K.M. M. Islam, S. Komaki, M. Zareei
Corresponding Author
N. Mansoor
Available Online July 2015.
DOI
10.2991/eame-15.2015.215How to use a DOI?
Keywords
cognitive radio networks; graph theory; ad-hoc networks; cluster-based network; re-clustering
Abstract

With the swift expansion of wireless technologies, demand for radio spectrum is continuously mounting. Along with the spectrum scarcity problem, radio spectrums are also underutilized. Cognitive radio practices an open spectrum allocation technique, which can ensure efficient handling of the frequency bands. Suitable network model is a must for the implementation of cognitive radio networks. In this paper, an efficient cluster model for cognitive radio ad-hoc networks is presented using graph theory. The proposed clustering model is defined as a maximum edge biclique problem, where the spatial variations of spectrum availability are considered. This clustering scheme aims to maintain set of free common channels in every cluster, which allows smooth shifting among control channels. A parameter called Cluster Head Determination Factor (CHDF) is also introduced to select cluster-heads where clusters’ operations are coordinated by cluster-heads. Each cluster comprises of a secondary cluster-head to combat the re-clustering issue for mobile nodes. Finally, simulation and comparative studies are conducted to evaluate the performance of the proposed method.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering
Series
Advances in Engineering Research
Publication Date
July 2015
ISBN
10.2991/eame-15.2015.215
ISSN
2352-5401
DOI
10.2991/eame-15.2015.215How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - N. Mansoor
AU  - S. Baharun
AU  - A.K.M. M. Islam
AU  - S. Komaki
AU  - M. Zareei
PY  - 2015/07
DA  - 2015/07
TI  - Cluster Modelling for Cognitive Radio Ad-hoc Networks Using Graph Theory
BT  - Proceedings of the 2015 International Conference on Electrical, Automation and Mechanical Engineering
PB  - Atlantis Press
SP  - 799
EP  - 803
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-15.2015.215
DO  - 10.2991/eame-15.2015.215
ID  - Mansoor2015/07
ER  -