Enhancing Cognitive Radio Spectrum Sensing Using Intelligent Routing Technique

Eze Obinna Peter, Prof G.N Onoh and Prof. Eke J.
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Eze Obinna Peter: Enugu State University of Science and technology Enugu, Nigeria
Prof G.N Onoh: Enugu State University of Science and technology Enugu, Nigeria
Prof. Eke J.: Enugu State University of Science and technology Enugu, Nigeria

International Journal of Research and Innovation in Applied Science, 2022, vol. 7, issue 1, 11-15

Abstract: The delay in transmitting data from one point to the other has necessitated to introducing enhancing cognitive radio spectrum sensing using intelligent routing technique. This can be achieved in this manner; characterizing the base station, determining the interference, congestion, high bit error rate, from the characterized network that prevents spectrum sensing and causes network failure, designing a fuzzy based rule for cognitive radio spectrum sensing that would reduce high bit error rate and congestion in the system and designing a SIMULINK model for enhancing cognitive radio spectrum sensing using intelligent routing technique. The results obtained for highest conventional congestion is 2.21 while that when intelligent routing is incorporated is 1.946 at day seven. Similarly highest conventional bit error rate occurred at day one is 0.000084bits while the highest bit error rate when an intelligent routing occurred at the same day one is 0.00007394bits. With these results obtained, it shows that using intelligent routing gives better network performance in terms of transmitting data fast than when conventional method is applied in the system.

Date: 2022
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