Development of adaptive sensing algorithm for minimizing energy and bandwidth consumption in cooperative spectrum sensing technology

dc.contributor.authorOpadiji, Jayeola
dc.date.accessioned2019-06-03T08:33:41Z
dc.date.available2019-06-03T08:33:41Z
dc.date.issued2019
dc.description.abstractOptimized consumption of energy and bandwidth is crucial for efficient utilization of the limited electromagnetic spectrum for telecommunication purposes. Cognitive radio is one of the dynamic spectrum management applications with numerous benefits related to the management of available spectrum. But it has the challenge ofhigh energy and bandwidth usage when the cooperative scheme of spectrum sensing is applied for accurate sensing. In this paper, an adaptive spectrum sensing algorithm is developed to minimize energy and bandwidth consumption in cognitive radio spectrum sensing while ensuring accurate spectrum sensing. The adaptive algorithm was developed based on the signal-to-noise ratio conditions of the channel. Results reveal that the energy and bandwidth usage by the cooperative spectrum sensing can be significantly reduced without negatively affecting the performance and detection of the cognitive radio in varying noisy conditionsen_US
dc.identifier.urihttp://hdl.handle.net/123456789/2050
dc.language.isoenen_US
dc.subjectAdaptive Sensing Algorithmen_US
dc.subjectBandwidth and Energy Consumptionen_US
dc.subjectCooperative Spectrum Sensingen_US
dc.subjectCognitive Radioen_US
dc.titleDevelopment of adaptive sensing algorithm for minimizing energy and bandwidth consumption in cooperative spectrum sensing technologyen_US
dc.typeArticleen_US

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