Publication:
Cognitive radio sensor networks in smart grid

dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.kuauthorAkan, Özgür Barış
dc.contributor.kuauthorÇetinkaya, Oktay
dc.contributor.kuauthorErgül, Özgür
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.date.accessioned2024-11-09T23:04:24Z
dc.date.issued2016
dc.description.abstractSmart Grid: Networking, Data Management, and Business Models delivers a comprehensive overview of smart grid communications, discussing the latest advances in the technology, the related cyber security issues, and the best ways to manage user demand and pricing. delivers a comprehensive overview of smart grid communications, discussing the latest advances in the technology, the related cyber security issues, and the best ways to manage user demand and pricing. delivers a comprehensive overview of smart grid communications, discussing the latest advances in the technology, the related cyber security issues, and the best ways to manage user demand and pricing. 1- Delivers a comprehensive overview of smart grid communications, discussing the latest advances in the technology, the related cyber security issues, and the best ways to manage user demand and pricing. 2-Explores the space of attacks in the energy management process, the need for a smart grid simulator, and the management issues that arise around smart cities. 3-Explores the space of attacks in the energy management process, the need for a smart grid simulator, and the management issues that arise around smart cities. 4-Presents cutting-edge research on microgrids, electric vehicles, and energy trading in the smart grid. Thus, Smart Grid: Networking, Data Management, and Business Models provides a valuable reference for utility operators, telecom operators, communications engineers, power engineers, electric vehicle original equipment manufacturers (OEMs), electric vehicle service providers, university professors, researchers, and students.
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.openaccessNO
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.identifier.doi10.1201/b19664
dc.identifier.isbn978-1-4987-1971-1
dc.identifier.isbn978-1-4987-1970-4
dc.identifier.quartileN/A
dc.identifier.scopus2-s2.0-85052577938
dc.identifier.urihttps://hdl.handle.net/20.500.14288/8633
dc.identifier.wos382858100003
dc.keywordsHome automation networks
dc.keywordsSpectrum handoff
dc.keywordsarchitectures
dc.keywordsOpportunities
dc.language.isoeng
dc.publisherCrc Press-Taylor and Francis Group
dc.relation.ispartofSmart Grid: Networking, Data Management, and Business Models
dc.subjectComputer science
dc.subjectHardware architecture
dc.subjectEngineering
dc.subjectElectrical electronic engineering
dc.titleCognitive radio sensor networks in smart grid
dc.typeBook Chapter
dspace.entity.typePublication
local.contributor.kuauthorErgül, Özgür
local.contributor.kuauthorÇetinkaya, Oktay
local.contributor.kuauthorAkan, Özgür Barış
local.publication.orgunit1GRADUATE SCHOOL OF SCIENCES AND ENGINEERING
local.publication.orgunit1College of Engineering
local.publication.orgunit2Department of Electrical and Electronics Engineering
local.publication.orgunit2Graduate School of Sciences and Engineering
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