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  Published Paper Details:

  Paper Title

AN OPTIMIZATION OF FUZZY ANT COLONY MODEL BASED ROUTING ALGORITHM FOR IMPROVEMENT OF EFFICIENT ROUTING IN COGNITIVE RADIO NETWORKS

  Authors

  Dr.S.NIVAS MCA.,M.Phil.,Ph.D,  Dr.N.ULAGANATHAN

  Keywords

CRN, ACO,PSO,On-demand routing,Overhead ratio

  Abstract


Cognitive radio provides good clarification to spectrum shortage problem to accommodate new wireless applications. The network selection is an important mechanism in cognitive radio heterogeneous network ) to provide optimal Quality of Service to both Primary Users and Secondary Users. The aim of this work is to provide optimal QoS to SUs by appropriate network selection and channel assignment. The proposed FACOCRA (Fuzzy Ant Colony optimization based cognitive routing algorithm) selects the best network while maximizing the data rate and minimizing the interference and cost simultaneously. Simulation results show the attractive performance of our proposed algorithm.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2006312

  Paper ID - 195797

  Page Number(s) - 2294-2300

  Pubished in - Volume 8 | Issue 6 | June 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Dr.S.NIVAS MCA.,M.Phil.,Ph.D,  Dr.N.ULAGANATHAN,   "AN OPTIMIZATION OF FUZZY ANT COLONY MODEL BASED ROUTING ALGORITHM FOR IMPROVEMENT OF EFFICIENT ROUTING IN COGNITIVE RADIO NETWORKS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 6, pp.2294-2300, June 2020, Available at :http://www.ijcrt.org/papers/IJCRT2006312.pdf

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ISSN: 2320-2882
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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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