Sensing and Sharing of Spectrum in Cooperative Cognitive Radio Vehicular Networks Using K-tuned Classifiers and Fuzzy Logic

Main Article Content

Sunil U. Nyati
S. R. Suralkar
Umesh S. Bhadade

Abstract

This paper aims to efficiently utilize the spectrum based on sensing and sharing optimal resources like relay and power on cooperative cognitive radio in a vehicular network. Resources are allocated in the V2V environment by considering the effect of the Doppler shift. Spectrum sensing is carried out using K-tuned Nearest Neighbors algorithm, in which the K parameter is tuned to avoid misclassification-related problems that enhance the spectrum sensing. After sensing the status of the spectrum, a Fuzzy logic-based approach shares the spectrum with the help of optimized resources. Simulations are carried in different vehicle scenarios in terms of bit error rate and throughput.

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How to Cite
1.
Nyati S, Suralkar S, Bhadade U. Sensing and Sharing of Spectrum in Cooperative Cognitive Radio Vehicular Networks Using K-tuned Classifiers and Fuzzy Logic. sms [Internet]. 15Jul.2022 [cited 28Nov.2022];14(03):302-6. Available from: https://smsjournals.com/index.php/SAMRIDDHI/article/view/2890
Section
Research Articles