Publication: Clustering in multi-channel cognitive radio ad hoc and sensor networks
dc.contributor.coauthor | Alagöz, Fatih | |
dc.contributor.department | Department of Electrical and Electronics Engineering | |
dc.contributor.department | Graduate School of Sciences and Engineering | |
dc.contributor.kuauthor | Akan, Özgür Barış | |
dc.contributor.kuauthor | Özger, Mustafa | |
dc.contributor.schoolcollegeinstitute | College of Engineering | |
dc.contributor.schoolcollegeinstitute | GRADUATE SCHOOL OF SCIENCES AND ENGINEERING | |
dc.date.accessioned | 2024-11-09T13:26:48Z | |
dc.date.issued | 2018 | |
dc.description.abstract | CR enables dynamic spectrum access to utilize licensed spectrum when it is idle. CR technology is applied to wireless ad hoc and sensor networks to form CRAHNs and CRSNs, respectively. Clustering is an efficient topology management technique to regulate communication and allocate spectrum resources by CR capabilities of nodes in CRAHNs and CRSNs. In this article, we thoroughly investigate the benefits and functionalities of clustering such as topology, spectrum, and energy management in these networks. We also overview motivations for and challenges of clustering in CRAHNs and CRSNs. Existing clustering schemes are reviewed and compared. We conclude by revealing key considerations and possible solutions for spectrum-aware clustering in multi-channel CRAHNs and CRSNs. | |
dc.description.fulltext | YES | |
dc.description.indexedby | WOS | |
dc.description.indexedby | Scopus | |
dc.description.issue | 4 | |
dc.description.openaccess | YES | |
dc.description.publisherscope | International | |
dc.description.sponsoredbyTubitakEu | N/A | |
dc.description.sponsorship | N/A | |
dc.description.version | Author's final manuscript | |
dc.description.volume | 56 | |
dc.identifier.doi | 10.1109/MCOM.2018.1700767 | |
dc.identifier.eissn | 1558-1896 | |
dc.identifier.embargo | NO | |
dc.identifier.filenameinventoryno | IR02036 | |
dc.identifier.issn | 0163-6804 | |
dc.identifier.quartile | Q1 | |
dc.identifier.scopus | 2-s2.0-85045924677 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14288/3495 | |
dc.identifier.wos | 430412200023 | |
dc.keywords | Network topology | |
dc.keywords | Radio spectrum management | |
dc.keywords | Sensors | |
dc.keywords | Ad hoc networks | |
dc.keywords | Cognitive radio | |
dc.keywords | Routing | |
dc.keywords | Wireless networks | |
dc.language.iso | eng | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
dc.relation.grantno | NA | |
dc.relation.ispartof | IEEE Communications Magazine | |
dc.relation.uri | http://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/8623 | |
dc.subject | Engineering | |
dc.subject | Telecommunications | |
dc.title | Clustering in multi-channel cognitive radio ad hoc and sensor networks | |
dc.type | Journal Article | |
dspace.entity.type | Publication | |
local.contributor.kuauthor | Özger, Mustafa | |
local.contributor.kuauthor | Akan, Özgür Barış | |
local.publication.orgunit1 | GRADUATE SCHOOL OF SCIENCES AND ENGINEERING | |
local.publication.orgunit1 | College of Engineering | |
local.publication.orgunit2 | Department of Electrical and Electronics Engineering | |
local.publication.orgunit2 | Graduate School of Sciences and Engineering | |
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relation.isOrgUnitOfPublication.latestForDiscovery | 21598063-a7c5-420d-91ba-0cc9b2db0ea0 | |
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