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Dynamic smart grid communication parameters based cognitive radio network

The demand for more spectrums in a smart grid communication network is a significant challenge in originally scarce spectrum resources. Cognitive radio (CR) is a powerful technique for solving the spectrum scarcity problem by adapting the transmission parameters according to predefined objectives in...

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Main Authors: Haider H.T., Muhsen D.H., Shahadi H.I., See O.H., Elmenreich W.
Other Authors: 57038392900
Format: Article
Published: Czech Technical University 2023
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spelling my.uniten.dspace-249702023-05-29T15:29:38Z Dynamic smart grid communication parameters based cognitive radio network Haider H.T. Muhsen D.H. Shahadi H.I. See O.H. Elmenreich W. 57038392900 56728928200 54956597100 16023044400 6505948861 The demand for more spectrums in a smart grid communication network is a significant challenge in originally scarce spectrum resources. Cognitive radio (CR) is a powerful technique for solving the spectrum scarcity problem by adapting the transmission parameters according to predefined objectives in an active wireless communication network. This paper presents a cognitive radio decision engine that dynamically selects optimal radio transmission parameters for wireless home area networks (HAN) of smart grid applications via the multi-objective differential evolution (MODE) optimization method. The proposed system helps to drive optimal communication parameters to realize power saving, maximum throughput and minimum bit error rate communication modes. A differential evolution algorithm is used to select the optimal transmission parameters for given communication modes based on a fitness function that combines multiple objectives based on appropriate weights. Simulation results highlight the superiority of the proposed system in terms of accuracy and convergence as compared with other evolution algorithms (genetic optimization, particle swarm optimization, and ant colony optimization) for different communication modes (power saving mode, high throughput mode, emergency communication mode, and balanced mode). � Czech Technical University in Prague, 2019. Final 2023-05-29T07:29:38Z 2023-05-29T07:29:38Z 2019 Article 10.14311/AP.2019.59.0248 2-s2.0-85070763834 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85070763834&doi=10.14311%2fAP.2019.59.0248&partnerID=40&md5=b713506117f107ab5c5c50409985dbd8 https://irepository.uniten.edu.my/handle/123456789/24970 59 3 248 259 All Open Access, Gold, Green Czech Technical University 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 The demand for more spectrums in a smart grid communication network is a significant challenge in originally scarce spectrum resources. Cognitive radio (CR) is a powerful technique for solving the spectrum scarcity problem by adapting the transmission parameters according to predefined objectives in an active wireless communication network. This paper presents a cognitive radio decision engine that dynamically selects optimal radio transmission parameters for wireless home area networks (HAN) of smart grid applications via the multi-objective differential evolution (MODE) optimization method. The proposed system helps to drive optimal communication parameters to realize power saving, maximum throughput and minimum bit error rate communication modes. A differential evolution algorithm is used to select the optimal transmission parameters for given communication modes based on a fitness function that combines multiple objectives based on appropriate weights. Simulation results highlight the superiority of the proposed system in terms of accuracy and convergence as compared with other evolution algorithms (genetic optimization, particle swarm optimization, and ant colony optimization) for different communication modes (power saving mode, high throughput mode, emergency communication mode, and balanced mode). � Czech Technical University in Prague, 2019.
author2 57038392900
author_facet 57038392900
Haider H.T.
Muhsen D.H.
Shahadi H.I.
See O.H.
Elmenreich W.
format Article
author Haider H.T.
Muhsen D.H.
Shahadi H.I.
See O.H.
Elmenreich W.
spellingShingle Haider H.T.
Muhsen D.H.
Shahadi H.I.
See O.H.
Elmenreich W.
Dynamic smart grid communication parameters based cognitive radio network
author_sort Haider H.T.
title Dynamic smart grid communication parameters based cognitive radio network
title_short Dynamic smart grid communication parameters based cognitive radio network
title_full Dynamic smart grid communication parameters based cognitive radio network
title_fullStr Dynamic smart grid communication parameters based cognitive radio network
title_full_unstemmed Dynamic smart grid communication parameters based cognitive radio network
title_sort dynamic smart grid communication parameters based cognitive radio network
publisher Czech Technical University
publishDate 2023
_version_ 1806424252031696896
score 13.222552

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