PSO-Least Squares SVM for Clustering in Cognitive Radio Sensor Networks

  • Jerzy Martyna
Conference paper
First Online:
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 458)

Abstract

In this paper, a solution for a cluster formation in cognitive radio networks is presented. The solution features a network-wide energy consumption model for these networks. The particle swarm optimisation (PSO) and least squares support vector machines (LS-SVMs) have been transformed into our clustering problem. The obtained results show that the given hybrid AI system provides a good estimate of a cluster formation. Through extensive simulations, we observed that the PSO-LS-SVM method can be effectively used under various spectrum characteristics. Moreover, the formed clusters are reliable and stable in a dynamic frequency environment.

Keywords

least squares support vector machines particle swarm optimisation cognitive radio technology wireless sensor networks clustering problem 
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Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  • Jerzy Martyna
    • 1
  1. 1.Institute of Computer Science, Faculty of Mathematics and Computer ScienceJagiellonian UniversityCracowPoland

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