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

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 E...

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Main Authors: Mahak Kalra, Anil Vohra, Nikhil Marriwala
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Measurement: Sensors
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2665917422000538
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author Mahak Kalra
Anil Vohra
Nikhil Marriwala
author_facet Mahak Kalra
Anil Vohra
Nikhil Marriwala
author_sort Mahak Kalra
collection DOAJ
description 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.
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spelling doaj.art-f21a5a096db64713a560b2e224099aad2022-12-22T03:21:27ZengElsevierMeasurement: Sensors2665-91742022-12-0124100419LEACH based hybrid energy efficient routing algorithm for dynamic cognitive radio networksMahak Kalra0Anil Vohra1Nikhil Marriwala2Department of Electronic Science, Kurukshetra, India; Corresponding author.Electronic Science Department, Kurukshetra University Kurukshetra, IndiaElectronics and Communication Engineering Department, University Institute of Engineering and Technology (UIET), Kurukshetra University, Kurukshetra, Haryana, IndiaDetection 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.http://www.sciencedirect.com/science/article/pii/S2665917422000538Cognitive radio networksCognitive cycleEnergy efficiencySpectrum sensingCluster head
spellingShingle Mahak Kalra
Anil Vohra
Nikhil Marriwala
LEACH based hybrid energy efficient routing algorithm for dynamic cognitive radio networks
Measurement: Sensors
Cognitive radio networks
Cognitive cycle
Energy efficiency
Spectrum sensing
Cluster head
title LEACH based hybrid energy efficient routing algorithm for dynamic cognitive radio networks
title_full LEACH based hybrid energy efficient routing algorithm for dynamic cognitive radio networks
title_fullStr LEACH based hybrid energy efficient routing algorithm for dynamic cognitive radio networks
title_full_unstemmed LEACH based hybrid energy efficient routing algorithm for dynamic cognitive radio networks
title_short LEACH based hybrid energy efficient routing algorithm for dynamic cognitive radio networks
title_sort leach based hybrid energy efficient routing algorithm for dynamic cognitive radio networks
topic Cognitive radio networks
Cognitive cycle
Energy efficiency
Spectrum sensing
Cluster head
url http://www.sciencedirect.com/science/article/pii/S2665917422000538
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