Spectrum aware cluster formation scheme for Cognitive Radio Sensor Network

In Cognitive Radio Sensor Network (CRSN), a cognitive radio sensor node operated on a dynamic spectrum allocation with limite d computational and energy resource. A cognitive radio sensor node must vacate an occupied channel degrading its performance due to reclustering as the common channel no long...

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Main Authors: Noor N.M., Din N.M., Kasiran Z.
Other Authors: 55971575900
Format: Article
Published: Science Publishing Corporation Inc 2023
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spelling my.uniten.dspace-239512023-05-29T14:53:27Z Spectrum aware cluster formation scheme for Cognitive Radio Sensor Network Noor N.M. Din N.M. Kasiran Z. 55971575900 9335429400 24450527700 In Cognitive Radio Sensor Network (CRSN), a cognitive radio sensor node operated on a dynamic spectrum allocation with limite d computational and energy resource. A cognitive radio sensor node must vacate an occupied channel degrading its performance due to reclustering as the common channel no longer available. Furthermore, energy is mostly consumed during data transmission mechani sm. Clustering is the best architecture model to minimize energy consumption among the nodes. With the objective of a robust cluster while maximizing network lifetime, a fuzzy logic technique is proposed. A metric named relative common channel is also proposed. The fuzzy logic combines two input parameters, the relative common channel and residual energy to elect the best suitable cluster head to min imize reclustering and maximize the network lifetime. The performance of the proposed algorithm is compared with LEACH, SAFCA and CogLEACH. The results show that the CRSN has more extended network lifetime and more balanced energy consumption attributed to the robust cluster formation. � 2018 Authors. Final 2023-05-29T06:53:27Z 2023-05-29T06:53:27Z 2018 Article 10.14419/ijet.v7i3.15.17511 2-s2.0-85082351695 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082351695&doi=10.14419%2fijet.v7i3.15.17511&partnerID=40&md5=4034dfe6dd9779c9e15cab26bc8f25ae https://irepository.uniten.edu.my/handle/123456789/23951 7 3 105 109 Science Publishing Corporation Inc Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description In Cognitive Radio Sensor Network (CRSN), a cognitive radio sensor node operated on a dynamic spectrum allocation with limite d computational and energy resource. A cognitive radio sensor node must vacate an occupied channel degrading its performance due to reclustering as the common channel no longer available. Furthermore, energy is mostly consumed during data transmission mechani sm. Clustering is the best architecture model to minimize energy consumption among the nodes. With the objective of a robust cluster while maximizing network lifetime, a fuzzy logic technique is proposed. A metric named relative common channel is also proposed. The fuzzy logic combines two input parameters, the relative common channel and residual energy to elect the best suitable cluster head to min imize reclustering and maximize the network lifetime. The performance of the proposed algorithm is compared with LEACH, SAFCA and CogLEACH. The results show that the CRSN has more extended network lifetime and more balanced energy consumption attributed to the robust cluster formation. � 2018 Authors.
author2 55971575900
author_facet 55971575900
Noor N.M.
Din N.M.
Kasiran Z.
format Article
author Noor N.M.
Din N.M.
Kasiran Z.
spellingShingle Noor N.M.
Din N.M.
Kasiran Z.
Spectrum aware cluster formation scheme for Cognitive Radio Sensor Network
author_sort Noor N.M.
title Spectrum aware cluster formation scheme for Cognitive Radio Sensor Network
title_short Spectrum aware cluster formation scheme for Cognitive Radio Sensor Network
title_full Spectrum aware cluster formation scheme for Cognitive Radio Sensor Network
title_fullStr Spectrum aware cluster formation scheme for Cognitive Radio Sensor Network
title_full_unstemmed Spectrum aware cluster formation scheme for Cognitive Radio Sensor Network
title_sort spectrum aware cluster formation scheme for cognitive radio sensor network
publisher Science Publishing Corporation Inc
publishDate 2023
_version_ 1806428029890592768
score 13.214268