Optimization of Threshold for Energy Based Spectrum Sensing Using Differential Evolution

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dc.contributor.authorNarayanan, K. Aravind
dc.contributor.authorShivaram, P. Arun
dc.contributor.authorMaheshkumar, M.
dc.contributor.authorSanthoshkumar, K.
dc.contributor.authorKumar, L. Sathiesh
dc.contributor.authorKumar, L. Sathiesh
dc.contributor.authorNarayanankutty, K.A
dc.date.accessioned2016-10-27T11:44:38Z
dc.date.available2016-10-27T11:44:38Z
dc.date.issued2011-07
dc.description.abstractInterference threshold based on energy setting in cognitive radios is a non-convex optimization problem [4]. The convergence of optimization techniques like Genetic algorithm (GA) takes several iterations to fix this threshold. Here, an attempt made to use Differential evolution (DE) method for optimization after formulating the objective functions. The advantages with this method were three fold over GA. They were, a. A reduced number of iterations, b. Marginal improvement and consistency of throughput and c. Localization of the best solution. The comparative results are presented and discussed.en_US
dc.identifier.citationWireless Engineering and Technology, 2011, 2, 130-134en_US
dc.identifier.urihttp://dx.doi.org/10.4236/wet.2011.23019
dc.identifier.urihttp://hdl.handle.net/123456789/1085
dc.language.isoenen_US
dc.publisherScientific Research Publishingen_US
dc.subjectCognitive Radioen_US
dc.subjectSpectrum Sensingen_US
dc.subjectDifferential Evolutionen_US
dc.titleOptimization of Threshold for Energy Based Spectrum Sensing Using Differential Evolutionen_US
dc.typeArticleen_US
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