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Cluster Computing

, Volume 22, Supplement 5, pp 10537–10548 | Cite as

Intelligent relay selection and spectrum sharing techniques for cognitive radio networks

  • D. RubyEmail author
  • M. Vijayalakshmi
  • A. Kannan
Article

Abstract

A cognitive radio network has the capability to detect the channels present in wireless spectrum automatically so that it is possible to perform concurrent communication. The major challenges in cognitive radio networks are relay selection and effective sharing of spectrum. Moreover, when the number of secondary users or relay nodes is augmented in the secondary network, enactment of the network is diminished. To overcome this issue, a new and optimal relay selection technique is proposed in this paper which performs amplification and forwarding in order to perform effective relay selection. In addition, a new particle swarm optimization based spectrum allocation technique is also proposed so that the interference problem is solved by applying spatio-temporal constraints in the decision process of particle swarm optimization. From the experiments conducted in this work, it is observed that the throughput of the network is increased by applying intelligent rules to handle the interfering restrictions. The main advantage of this proposed work is that it performs dynamic management of relay selection and spectrum allocation and increases the throughput and maximizes the signal to interference noise ratio.

Keywords

Cognitive radio network Amplify and forward relay selection Spectrum sharing Particle swarm optimization Signal to interference noise ratio Spatio-temporal constraints Intelligent agents 

Notes

Acknowledgements

We thank and acknowledge the help of Dr. S. Ganapathy, Assistant Professor (Sr. Grade), Department of Computing Sciences and Engineering, VIT-University Chennai Campus, Tamilnadu, India for providing the expert advice on how to form and apply spatio-temporal rules in decision making with particle swarm optimization to solve the problem of relay selection and spectrum sharing optimally and also for the preparation of this manuscript.

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Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  1. 1.Department of Information Science and TechnologyCEG Campus, Anna UniversityChennaiIndia

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