Publication: Cognitive radio networks for smart grid applications: A promising technology to overcome spectrum inefficiency
| dc.contributor.author | Güngör, Vehbi Çağrı | |
| dc.contributor.author | Şahin, Dilan | |
| dc.contributor.institution | Güngör, Vehbi Çağrı, Computer Networks and Mobile Communications Laboratory, Department of Computer Engineering, Bahçeşehir Üniversitesi, Istanbul, Turkey | |
| dc.contributor.institution | Şahin, Dilan, Computer Networks and Mobile Communications Laboratory | |
| dc.date.accessioned | 2025-10-05T16:42:47Z | |
| dc.date.issued | 2012 | |
| dc.description.abstract | With the rapid increase in world population and power demand, the aging infrastructure of the existing power grid has caused many problems to electric utilities and customers in terms of system reliability, power quality, and customer satisfaction. Field tests show that the power grid has harsh and complex environmental conditions, dynamic topology changes, connectivity problems, interference, and fading, which make wireless communication very challenging in power grid environments. Recently, cognitive radio (CR) network is recognized as a promising technology to address the communication and networking problems of next-generation power grid, i.e., smart grid (SG). This article presents a comprehensive review about SG characteristics and CR-based SG applications. Also, architectures to support CR networks in SG applications, major challenges, and open issues have been discussed. © 2005-2012 IEEE. © 2012 Elsevier B.V., All rights reserved. | |
| dc.identifier.doi | 10.1109/MVT.2012.2190183 | |
| dc.identifier.endpage | 46 | |
| dc.identifier.issn | 15566072 | |
| dc.identifier.issue | 2 | |
| dc.identifier.scopus | 2-s2.0-84861341756 | |
| dc.identifier.startpage | 41 | |
| dc.identifier.uri | https://doi.org/10.1109/MVT.2012.2190183 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14719/13394 | |
| dc.identifier.volume | 7 | |
| dc.language.iso | en | |
| dc.relation.source | IEEE Vehicular Technology Magazine | |
| dc.subject.authorkeywords | Aging Infrastructure | |
| dc.subject.authorkeywords | Cognitive Radio Network | |
| dc.subject.authorkeywords | Connectivity Problems | |
| dc.subject.authorkeywords | Dynamic Topologies | |
| dc.subject.authorkeywords | Environmental Conditions | |
| dc.subject.authorkeywords | Field Test | |
| dc.subject.authorkeywords | Networking Problems | |
| dc.subject.authorkeywords | Power Demands | |
| dc.subject.authorkeywords | Power Grids | |
| dc.subject.authorkeywords | Smart Grid | |
| dc.subject.authorkeywords | System Reliability | |
| dc.subject.authorkeywords | Wireless Communications | |
| dc.subject.authorkeywords | World Population | |
| dc.subject.authorkeywords | Cognitive Radio | |
| dc.subject.authorkeywords | Communication | |
| dc.subject.authorkeywords | Customer Satisfaction | |
| dc.subject.authorkeywords | Electric Utilities | |
| dc.subject.authorkeywords | Power Quality | |
| dc.subject.authorkeywords | Smart Power Grids | |
| dc.subject.authorkeywords | Wireless Telecommunication Systems | |
| dc.subject.authorkeywords | Next Generation Networks | |
| dc.subject.indexkeywords | Aging infrastructure | |
| dc.subject.indexkeywords | Cognitive radio network | |
| dc.subject.indexkeywords | Connectivity problems | |
| dc.subject.indexkeywords | Dynamic topologies | |
| dc.subject.indexkeywords | Environmental conditions | |
| dc.subject.indexkeywords | Field test | |
| dc.subject.indexkeywords | Networking problems | |
| dc.subject.indexkeywords | Power demands | |
| dc.subject.indexkeywords | Power grids | |
| dc.subject.indexkeywords | Smart grid | |
| dc.subject.indexkeywords | System reliability | |
| dc.subject.indexkeywords | Wireless communications | |
| dc.subject.indexkeywords | World population | |
| dc.subject.indexkeywords | Cognitive radio | |
| dc.subject.indexkeywords | Communication | |
| dc.subject.indexkeywords | Customer satisfaction | |
| dc.subject.indexkeywords | Electric utilities | |
| dc.subject.indexkeywords | Power quality | |
| dc.subject.indexkeywords | Smart power grids | |
| dc.subject.indexkeywords | Wireless telecommunication systems | |
| dc.subject.indexkeywords | Next generation networks | |
| dc.title | Cognitive radio networks for smart grid applications: A promising technology to overcome spectrum inefficiency | |
| dc.type | Article | |
| dcterms.references | Akan, Özgür Bariş, Cognitive radio sensor networks, IEEE Network, 23, 4, pp. 34-40, (2009), Akyìldìz, Ian Fuat, Spectrum management in cognitive radio ad hoc networks, IEEE Network, 23, 4, pp. 6-12, (2009), Akyìldìz, Ian Fuat, A survey on spectrum management in cognitive radio networks, IEEE Communications Magazine, 46, 4, pp. 40-48, (2008), Akyìldìz, Ian Fuat, NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey, Computer Networks, 50, 13, pp. 2127-2159, (2006), Fatemieh, Omid, Low cost and secure smart meter communications using the TV white spaces, pp. 37-42, (2010), Proc IEEE Smartgridcomm, (2010), Güngör, Vehbi Çağrı, Opportunities and challenges of wireless sensor networks in smart grid, IEEE Transactions on Industrial Electronics, 57, 10, pp. 3557-3564, (2010), Güngör, Vehbi Çağrı, Smart grid technologies: Communication technologies and standards, IEEE Transactions on Industrial Informatics, 7, 4, pp. 529-539, (2011), Moslehi, Khosrow, Smart grid - A reliability perspective, (2010), Qiu, Robert Caiming, Cognitive radio network for the smart grid: Experimental system architecture, control algorithms, security, and microgrid testbed, IEEE Transactions on Smart Grid, 2, 4, pp. 724-740, (2011) | |
| dspace.entity.type | Publication | |
| local.indexed.at | Scopus | |
| person.identifier.scopus-author-id | 10739803300 | |
| person.identifier.scopus-author-id | 54394156700 |
