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An Efficient Best Fit Channel Switching (BFCS) Scheme for Cognitive Radio Networks

  • Anisha GroverEmail author
  • Vikram Bali
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 899)

Abstract

This paper represents a scheme for solving the problem that is faced by the Secondary Users for channel switching in Cognitive Radio networks. In this work, an efficient proactive channel selection and switching framework called Best Fit Channel Switching (BFCS) is proposed to minimize the amount of channel switching overhead for SUs between different channels. Based on channel usage information of PU and application specific parameters, One State Transition Probability (OSTP) and Two State Transition Probability (TSTP) are calculated. Then with the help of OSTP and TSTP a list of best channels for switching is obtained. Thus the proposed scheme enables the SUs to proactively predict the future spectrum availability status and switch to the best channel for communication when any PU arrives amidst of its current transmission. The proposed method is compared with the existing methods to evaluate its performance for parameters like channel switching cost.

Keywords

Cognitive Radio Cognitive Radio Network Secondary users Primary users 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringPIET SamalkhaPanipatIndia
  2. 2.Department of Computer Science and EngineeringJSS Academy Of Technical EducationNoidaIndia

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