Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69257
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dc.contributor.authorSahelee, Sultana-
dc.contributor.authorAmran, Hossain-
dc.contributor.authorMd. Obaidur, Rahman-
dc.contributor.authorMuzammil, Jusoh-
dc.date.accessioned2021-01-06T01:05:32Z-
dc.date.available2021-01-06T01:05:32Z-
dc.date.issued2017-
dc.identifier.citationMATEC Web of Conferences, vol.140, 2017, 7 pagesen_US
dc.identifier.issn2261-236X (online)-
dc.identifier.urihttp://dspace.unimap.edu.my:80/xmlui/handle/123456789/69257-
dc.descriptionLink to publisher's homepage at https://www.matec-conferences.org/en_US
dc.description.abstractIn wireless communication, Cognitive Radio Network (CRN) is the contemporary research area to improve efficiency and spectrum utilization. It is structured with both licensed users and unlicensed users. In CRN, unlicensed users also called Cognitive Radio (CR) users are permitted to utilize the free/idle of licensed channels without harmful interference to licensed users. However, accessing idle channels is the big challenging issue due to licensed users’ activities. A large number of cluster based MAC protocol have been proposed to solve this issue. In this paper, we have come up with a Traffic Adaptive Synchronized Cluster Based MAC Protocol for Cognitive Radio Ad Hoc Network, with the target of creating cluster structure more vigorous to the licensed users’ channel re-occupancy actions, maximize throughput, and minimize switching delay, so that CR users be able to use the idle spectrum more efficiently. In our protocol, clusters are formed according to Cluster Identification Channel (CIC) and inter-communication is completed without gateway nodes. Finally, we have analysed and implemented our protocol through simulation and it provides better performance in terms of different performance metrics.en_US
dc.language.isoenen_US
dc.publisherEDP Sciencesen_US
dc.relation.ispartofseries2017 International Conference on Emerging Electronic Solutions for IoT (ICEESI 2017);-
dc.subjectCognitive Radio Network (CRN)en_US
dc.subjectWireless communicationen_US
dc.titleTraffic Adaptive Synchronized Cluster based MAC Protocol for Cognitive Radio Ad Hoc Networken_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1051/matecconf/201714001011-
dc.contributor.urlorahman@duet.ac.bden_US
Appears in Collections:Muzammil Jusoh, Assoc. Prof. Dr.

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