STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Mobile Computing, Communications & Mobile Networks

Analysis and Comparison of Optimization Techniques for Interference Duration in Cognitive Radio

  1. Amit kumar Vijay
  2. Indu Saini
  3. Ashish Raman

Abstract

Cognitive radio provides opportunity to unlicensed users to use the licensed spectrum when it is not being used. Cognitive radio has several common radio performance parameters, out of which here we analyze the interference duration. Here we used genetic algorithm, particle swarm algorithm, bat algorithm based optimization techniques for the optimization of interference duration in cognitive radio. Interference duration converges to 3.08, 1.7 and 0.1534 μs corresponding to genetic algorithm, particle swarm algorithm and bat algorithm and corresponding sensing efficiencies are 32.52821, 32.7471 and 32.97671%. The comparative study reveals that the optimization result of interference duration obtained from bat algorithm is more optimum as compared to genetic algorithm and particle swarm optimization which results into higher sensing efficiency.Cite this ArticleAmit Kumar Vijay, Indu Saini, Ashish Raman. Analysis and Comparison of Optimization Techniques for Interference Duration in Cognitive Radio. Journal of Mobile Computing, Communications & Mobile Networks. 2016; 3(3): 1–8p.

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