Performance evaluation of cluster based cooperative cognitive radio network / M. Moradkhani and Z. Zalani

Cognitive radio is regarded as one of the transformational technologies that play a fundamental role in establishment and development of next generation wireless networks. Clustering based cognitive radio networks can reduce the energy consumption and increase the spectrum sensing accuracy. In...

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Main Authors: Moradkhani, M., Zalani, Z.
Format: Article
Language:English
Published: UiTM Press 2016
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Online Access:https://ir.uitm.edu.my/id/eprint/62999/1/62999.pdf
https://ir.uitm.edu.my/id/eprint/62999/
https://jeesr.uitm.edu.my/v1/
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spelling my.uitm.ir.629992022-06-28T10:08:04Z https://ir.uitm.edu.my/id/eprint/62999/ Performance evaluation of cluster based cooperative cognitive radio network / M. Moradkhani and Z. Zalani Moradkhani, M. Zalani, Z. Radio Cognitive radio is regarded as one of the transformational technologies that play a fundamental role in establishment and development of next generation wireless networks. Clustering based cognitive radio networks can reduce the energy consumption and increase the spectrum sensing accuracy. In this paper, we investigate the performance of a cognitive radio network with a clustering architecture for cooperative spectrum sensing. The network efficiency is evaluated in terms of throughput and energy consumption, under fading channel conditions. Simulation results show significant improvement of energy efficiency compared to the conventional non-clustering method by ensuring allowable interference with primary users. UiTM Press 2016-12 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/62999/1/62999.pdf Performance evaluation of cluster based cooperative cognitive radio network / M. Moradkhani and Z. Zalani. (2016) Journal of Electrical and Electronic Systems Research (JEESR), 9: 3. pp. 13-17. ISSN 1985-5389 https://jeesr.uitm.edu.my/v1/
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Radio
spellingShingle Radio
Moradkhani, M.
Zalani, Z.
Performance evaluation of cluster based cooperative cognitive radio network / M. Moradkhani and Z. Zalani
description Cognitive radio is regarded as one of the transformational technologies that play a fundamental role in establishment and development of next generation wireless networks. Clustering based cognitive radio networks can reduce the energy consumption and increase the spectrum sensing accuracy. In this paper, we investigate the performance of a cognitive radio network with a clustering architecture for cooperative spectrum sensing. The network efficiency is evaluated in terms of throughput and energy consumption, under fading channel conditions. Simulation results show significant improvement of energy efficiency compared to the conventional non-clustering method by ensuring allowable interference with primary users.
format Article
author Moradkhani, M.
Zalani, Z.
author_facet Moradkhani, M.
Zalani, Z.
author_sort Moradkhani, M.
title Performance evaluation of cluster based cooperative cognitive radio network / M. Moradkhani and Z. Zalani
title_short Performance evaluation of cluster based cooperative cognitive radio network / M. Moradkhani and Z. Zalani
title_full Performance evaluation of cluster based cooperative cognitive radio network / M. Moradkhani and Z. Zalani
title_fullStr Performance evaluation of cluster based cooperative cognitive radio network / M. Moradkhani and Z. Zalani
title_full_unstemmed Performance evaluation of cluster based cooperative cognitive radio network / M. Moradkhani and Z. Zalani
title_sort performance evaluation of cluster based cooperative cognitive radio network / m. moradkhani and z. zalani
publisher UiTM Press
publishDate 2016
url https://ir.uitm.edu.my/id/eprint/62999/1/62999.pdf
https://ir.uitm.edu.my/id/eprint/62999/
https://jeesr.uitm.edu.my/v1/
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score 13.18916