Performance analysis of a novel decentralised MAC protocol for cognitive radio networks

2.50
Hdl Handle:
http://hdl.handle.net/10547/622078
Title:
Performance analysis of a novel decentralised MAC protocol for cognitive radio networks
Authors:
Alhakami, Wajdi; Mansour, Ali; Safdar, Ghazanfar Ali ( 0000-0001-8969-1044 )
Abstract:
Due to the demand of emerging Cognitive Radio (CR) technology to permits using the unused licensed spectrum parts by cognitive users (CUs) to provide opportunistic and efficient utilisation of the white spaces. This requires deploying a CR MAC with the required characteristics to coordinate the spectrum access among CUs. Therefore, this paper presents the design and implementation of a novel Medium Access Control (MAC) protocol for decentralised CRNs (MCRN). The protocol provides efficient utilisations of the unused licensed channels and enables CUs to exchange data successfully over licensed channels. This is based on the observation procedure of sensing the status of the Licensed Users (LUs) are ON or OFF over the licensed channels. The protocol is validated with the comparison procedure against two different benchmark protocols in terms of the network performance; communication time and throughput. Therefore, performance analysis demonstrated that the proposed MCRN perform better and achieve higher throughput and time benefits than the benchmarks protocols.
Affiliation:
University of Bedfordshire
Citation:
Alhakami, W, Mansour, A, Safdar, G (2016) 'Performance analysis of a novel decentralised MAC protocol for cognitive radio networks', 2016 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob) - Bandung.
Publisher:
IEEE
Issue Date:
15-Sep-2016
URI:
http://hdl.handle.net/10547/622078
DOI:
10.1109/APWiMob.2016.7811439
Additional Links:
http://ieeexplore.ieee.org/abstract/document/7811439
Type:
Conference papers, meetings and proceedings
Language:
en
Appears in Collections:
Computing

Full metadata record

DC FieldValue Language
dc.contributor.authorAlhakami, Wajdien
dc.contributor.authorMansour, Alien
dc.contributor.authorSafdar, Ghazanfar Alien
dc.date.accessioned2017-04-11T14:08:34Z-
dc.date.available2017-04-11T14:08:34Z-
dc.date.issued2016-09-15-
dc.identifier.citationAlhakami, W, Mansour, A, Safdar, G (2016) 'Performance analysis of a novel decentralised MAC protocol for cognitive radio networks', 2016 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob) - Bandung.en
dc.identifier.doi10.1109/APWiMob.2016.7811439-
dc.identifier.urihttp://hdl.handle.net/10547/622078-
dc.description.abstractDue to the demand of emerging Cognitive Radio (CR) technology to permits using the unused licensed spectrum parts by cognitive users (CUs) to provide opportunistic and efficient utilisation of the white spaces. This requires deploying a CR MAC with the required characteristics to coordinate the spectrum access among CUs. Therefore, this paper presents the design and implementation of a novel Medium Access Control (MAC) protocol for decentralised CRNs (MCRN). The protocol provides efficient utilisations of the unused licensed channels and enables CUs to exchange data successfully over licensed channels. This is based on the observation procedure of sensing the status of the Licensed Users (LUs) are ON or OFF over the licensed channels. The protocol is validated with the comparison procedure against two different benchmark protocols in terms of the network performance; communication time and throughput. Therefore, performance analysis demonstrated that the proposed MCRN perform better and achieve higher throughput and time benefits than the benchmarks protocols.en
dc.language.isoenen
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/abstract/document/7811439en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMAC protocolsen
dc.subjectcognitive radioen
dc.titlePerformance analysis of a novel decentralised MAC protocol for cognitive radio networksen
dc.typeConference papers, meetings and proceedingsen
dc.contributor.departmentUniversity of Bedfordshireen
dc.date.updated2017-04-11T13:47:43Z-
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