Energy Efficient Clustered Architecture in Cognitive Radio Network with Optimum Sensing Time

Energy Efficient Clustered Architecture in Cognitive Radio Network with Optimum Sensing Time

© 2021 by IJETT Journal
Volume-69 Issue-7
Year of Publication : 2021
Authors : Ms. Katre Apurva Daman, Dr. T. C. Thanuja
DOI :  10.14445/22315381/IJETT-V69I7P220

How to Cite?

Ms. Katre Apurva Daman, Dr. T. C. Thanuja, "Energy Efficient Clustered Architecture in Cognitive Radio Network with Optimum Sensing Time," International Journal of Engineering Trends and Technology, vol. 69, no. 7, pp. 143-149, 2021. Crossref,

Cognitive Radio (CR) is an upcoming technology for spectrum usage optimization in wireless communication. Energy Detector(ED) with Cooperative Spectrum Sensing (CSS) is thepreferred detection methodology for CR system. Selecting a appropriate detection threshold for ED is essential to achieve the target Detection Probability (Pd). This work proposes an energy efficient cluster-based CR with optimum sensing time. Clustering organizes Secondary Users (SUs) into sets in order to improve the throughput and stability of Cognitive Radio Networks (CRN). By considering various affecting factors, to establish the optimal clustering is a challenge. This paper is focused ontwo phase Cluster Head (CH) selection based partition clustering algorithm to obtain the balanced clustered architecture with optimum energy efficiency. The result achieved with this clustering verifies the improvement in Pd and energy efficiency of CRN with optimum Sensing Time (Ts).

Radio Network, Optimum Sensing Time

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