Declining of Sensing Errors in Cognitive Radio by Threshold Determination of Energy Spotting Method
M. Ajay Kumar1, N. Rajesha2, Anupama Deshpande3
1M. Ajay Kumar, Research Scholar, Department of ECE, Shri JJT University, Jhunjhunu (Rajasthan), India.
2N. Rajesha, Department of ECE, Malla Reddy Institute of Engg and Tech, Hyderabad (Telangana), India.
3Anupama Deshpande, Department of ECE, Shri JJT University, Jhunjhunu (Rajasthan), India.
Manuscript received on 21 July 2019 | Revised Manuscript received on 03 August 2019 | Manuscript Published on 10 August 2019 | PP: 895-898 | Volume-8 Issue-2S3 July 2019 | Retrieval Number: B11690782S319/2019©BEIESP | DOI: 10.35940/ijrte.B1169.0782S319
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The conventional Cognitive Radio Network is anticipates the fundamental solution to problem of spectrum scarcity in the forthcoming wireless and cellular communication networks, furthermore CR networking senses vacant spectrum bands in opportunistic method, and though, increases the effectiveness of spectrum usage. The CRN (Cognitive radio Network) provides the wireless connectivity and integration through the medium of dynamic spectrum access approaches and heterogeneous wireless designs and architectures. The enabling techniques and utilities of the CRNs have received the dynamic research and the industry interest. In this specific paper, we proposed an solution to decrease the error rate by enhancing the performance of detection which occur in time of spectrum sensing mechanism.
Keywords: Cognitive Radio, Spectrum Sensing, Vacant Frequency Band, Spectrum Utilization.
Scope of the Article: Energy Harvesting and Transfer for Wireless Sensor Networks