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Link capacity based channel assignment (LCCA) for cognitive radio wireless mesh networks

Cognitive radio wireless mesh network (CRWMN) is expected as an upcoming technology with the potential advantages of both cognitive radio (CR) and the wireless mesh networks (WMN). In CRWMN, co-channel interference is one of the key limiting factors that affect the reception capabilities of the clie...

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Main Authors:	Maqbool, Wajahat, Syed Yusof, Sharifah Kamilah, Abdul Latiff, Nurul Mu’azzah, Mohd. Hashim, Siti Zaiton, Rahat, U., Zubair, K., Bushra, N.
Format:	Article
Language:	English
Published:	Penerbit UTM 2013
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/50098/1/SharifahKamilahSyed2013_Linkcapacitybasedchannel.pdf http://eprints.utm.my/id/eprint/50098/ https://dx.doi.org/10.11113/jt.v65.1754
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id	my.utm.50098
record_format	eprints
spelling	my.utm.500982018-10-14T08:26:59Z http://eprints.utm.my/id/eprint/50098/ Link capacity based channel assignment (LCCA) for cognitive radio wireless mesh networks Maqbool, Wajahat Syed Yusof, Sharifah Kamilah Abdul Latiff, Nurul Mu’azzah Mohd. Hashim, Siti Zaiton Rahat, U. Zubair, K. Bushra, N. TK Electrical engineering. Electronics Nuclear engineering Cognitive radio wireless mesh network (CRWMN) is expected as an upcoming technology with the potential advantages of both cognitive radio (CR) and the wireless mesh networks (WMN). In CRWMN, co-channel interference is one of the key limiting factors that affect the reception capabilities of the client and reduce the achievable transmission rate. Furthermore, it increases the frame loss rate and results in underutilization of resources. To maximize the performance of such networks, interference related issues need to be considered. Channel assignment (CA) is one of the key techniques to overcome the performance degradation of a network caused by the interferences. To counter the interference issues, we propose a novel CA technique which is based on link capacity, primary user activity and secondary user activity. These three parameters are fed to the proposed weightage decision engine to get the weight for each of the stated parameters. Thus, the link capacity based channel assignment (LCCA) algorithm is based on the weightage decision engine. The end-to-end delay, packet delivery ratio and the throughput is used to estimate the performance of the proposed algorithm. The numerical results demonstrate that the proposed algorithm is closer to the optimum resource utilization Penerbit UTM 2013 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/50098/1/SharifahKamilahSyed2013_Linkcapacitybasedchannel.pdf Maqbool, Wajahat and Syed Yusof, Sharifah Kamilah and Abdul Latiff, Nurul Mu’azzah and Mohd. Hashim, Siti Zaiton and Rahat, U. and Zubair, K. and Bushra, N. (2013) Link capacity based channel assignment (LCCA) for cognitive radio wireless mesh networks. Jurnal Teknologi (Sciences and Engineering), 65 (1). pp. 93-97. ISSN 0127-9696 https://dx.doi.org/10.11113/jt.v65.1754 DOI: 10.11113/jt.v65.1754
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Maqbool, Wajahat Syed Yusof, Sharifah Kamilah Abdul Latiff, Nurul Mu’azzah Mohd. Hashim, Siti Zaiton Rahat, U. Zubair, K. Bushra, N. Link capacity based channel assignment (LCCA) for cognitive radio wireless mesh networks
description	Cognitive radio wireless mesh network (CRWMN) is expected as an upcoming technology with the potential advantages of both cognitive radio (CR) and the wireless mesh networks (WMN). In CRWMN, co-channel interference is one of the key limiting factors that affect the reception capabilities of the client and reduce the achievable transmission rate. Furthermore, it increases the frame loss rate and results in underutilization of resources. To maximize the performance of such networks, interference related issues need to be considered. Channel assignment (CA) is one of the key techniques to overcome the performance degradation of a network caused by the interferences. To counter the interference issues, we propose a novel CA technique which is based on link capacity, primary user activity and secondary user activity. These three parameters are fed to the proposed weightage decision engine to get the weight for each of the stated parameters. Thus, the link capacity based channel assignment (LCCA) algorithm is based on the weightage decision engine. The end-to-end delay, packet delivery ratio and the throughput is used to estimate the performance of the proposed algorithm. The numerical results demonstrate that the proposed algorithm is closer to the optimum resource utilization
format	Article
author	Maqbool, Wajahat Syed Yusof, Sharifah Kamilah Abdul Latiff, Nurul Mu’azzah Mohd. Hashim, Siti Zaiton Rahat, U. Zubair, K. Bushra, N.
author_facet	Maqbool, Wajahat Syed Yusof, Sharifah Kamilah Abdul Latiff, Nurul Mu’azzah Mohd. Hashim, Siti Zaiton Rahat, U. Zubair, K. Bushra, N.
author_sort	Maqbool, Wajahat
title	Link capacity based channel assignment (LCCA) for cognitive radio wireless mesh networks
title_short	Link capacity based channel assignment (LCCA) for cognitive radio wireless mesh networks
title_full	Link capacity based channel assignment (LCCA) for cognitive radio wireless mesh networks
title_fullStr	Link capacity based channel assignment (LCCA) for cognitive radio wireless mesh networks
title_full_unstemmed	Link capacity based channel assignment (LCCA) for cognitive radio wireless mesh networks
title_sort	link capacity based channel assignment (lcca) for cognitive radio wireless mesh networks
publisher	Penerbit UTM
publishDate	2013
url	http://eprints.utm.my/id/eprint/50098/1/SharifahKamilahSyed2013_Linkcapacitybasedchannel.pdf http://eprints.utm.my/id/eprint/50098/ https://dx.doi.org/10.11113/jt.v65.1754
_version_	1643652778525982720
score	13.211869

Link capacity based channel assignment (LCCA) for cognitive radio wireless mesh networks

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