LEACH based hybrid energy efficient routing algorithm for dynamic cognitive radio networks

被引：0
|
作者：
Kalra M. [1 ]
Vohra A. [2 ]
Marriwala N. [3 ]
机构：
[1] Department of Electronic Science, Kurukshetra
[2] Electronic Science Department, Kurukshetra University Kurukshetra
[3] Electronics and Communication Engineering Department, University Institute of Engineering and Technology (UIET), Kurukshetra University, Haryana, Kurukshetra
来源：
Measurement: Sensors | 2022年 / 24卷
关键词：
Cluster head; Cognitive cycle; Cognitive radio networks; Energy efficiency; Spectrum sensing;
D O I：
10.1016/j.measen.2022.100419
中图分类号：
学科分类号：
摘要：
Detection of high energy using spectrum sensing step especially when using a collaborative method, is one of the key difficulties in cognitive radio which has the potential to improve energy efficiency. The Energy-Efficient Scalable Routing Algorithm(EESRA) is used in this study which combines Low Energy Adaptive Clustering Hierarchy (LEACH) with an Energy-Efficient clustering and hierarchical routing algorithm. A novel machine learning approach is used in this paper to consider identical channels in Cognitive Radio Networks (CRN). When compared to LEACH, the EESRA algorithm extended the lifespan of network, resulting in the incorrect rate of .9895 and an error rate of 0.0105. © 2022 The Authors
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