Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/9698
DC FieldValueLanguage
dc.contributor.authorChrysostomou, Chrysostomos-
dc.contributor.authorDjouvas, Constantinos-
dc.contributor.authorLambrinos, Lambros-
dc.date.accessioned2017-02-15T14:20:45Z-
dc.date.available2017-02-15T14:20:45Z-
dc.date.issued2014-01-
dc.identifier.citationStudies in Computational Intelligence, 2014, vol. 540, pp. 215-236en_US
dc.identifier.issn1860949X-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/9698-
dc.description.abstractThe area of intelligent autonomous vehicles and systems poses new challenges in providing mechanisms for efficient communication and control between vehicles, as well as developing robust, adaptive techniques to support intelligent transportation system applications. In this chapter, we show the need for providing an intelligent controller offering decision support in autonomous vehicular networks in terms of broadcast communication channel access. Specifically, we exploit fuzzy logic control, derived from its reported strength of using linguistic information to control nonlinear systems, to build an adaptive, intelligent controller, based on the traffic density, to aid vehicles in deciding when to access the broadcast communication channel. It is demonstrated, by means of enriched simulative evaluation that the fuzzy logic-based controller offers inbuilt robustness with effective control of the system under dense conditions, in contrast with the conventional - IEEE 802.11p standard - solution we compared against.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.rights© Springeren_US
dc.subjectAutonomous vehicular networksen_US
dc.subjectBroadcast communication channel accessen_US
dc.subjectCooperative awarenessen_US
dc.subjectDecision supporten_US
dc.subjectFuzzy logic controlen_US
dc.titleFuzzy logic-based adaptive decision support in autonomous vehicular networksen_US
dc.typeBook Chapteren_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationFrederick University of Cyprusen_US
dc.subject.categoryComputer and Information Sciencesen_US
dc.journalsSubscriptionen_US
dc.countryCyprusen_US
dc.subject.fieldNatural Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1007/978-981-4585-36-1-7en_US
dc.relation.volume540en_US
cut.common.academicyear2013-2014en_US
dc.identifier.spage215en_US
dc.identifier.epage236en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_3248-
item.openairetypebookPart-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.languageiso639-1en-
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Communication and Internet Studies-
crisitem.author.deptDepartment of Communication and Internet Studies-
crisitem.author.facultyFaculty of Communication and Media Studies-
crisitem.author.facultyFaculty of Communication and Media Studies-
crisitem.author.orcid0000-0003-1215-7294-
crisitem.author.orcid0000-0002-6810-1479-
crisitem.author.parentorgFaculty of Communication and Media Studies-
crisitem.author.parentorgFaculty of Communication and Media Studies-
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