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dc.contributor.authorKosunalp S.
dc.contributor.authorChu Y.
dc.contributor.authorMitchell P.D.
dc.contributor.authorGrace D.
dc.contributor.authorClarke T.
dc.date.accessioned20.04.201910:49:12
dc.date.accessioned2019-04-20T21:43:31Z
dc.date.available20.04.201910:49:12
dc.date.available2019-04-20T21:43:31Z
dc.date.issued2016
dc.identifier.issn0952-1976
dc.identifier.urihttps://dx.doi.org/10.1016/j.engappai.2016.06.012
dc.identifier.urihttps://hdl.handle.net/20.500.12403/587
dc.description.abstractThis paper studies the potential of a novel approach to ensure more efficient and intelligent assignment of capacity through medium access control (MAC) in practical wireless sensor networks. Q-Learning is employed as an intelligent transmission strategy. We review the existing MAC protocols in the context of Q-learning. A recently-proposed, ALOHA and Q-Learning based MAC scheme, ALOHA-Q, is considered which improves the channel performance significantly with a key benefit of simplicity. Practical implementation issues of ALOHA-Q are studied. We demonstrate the performance of the ALOHA-Q through extensive simulations and evaluations in various testbeds. A new exploration/exploitation method is proposed to strengthen the merits of the ALOHA-Q against dynamic the channel and environment conditions. © 2016 Elsevier Ltden_US
dc.language.isoengen_US
dc.publisherElsevier Ltd
dc.relation.isversionof10.1016/j.engappai.2016.06.012
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectALOHA
dc.subjectMedium access control
dc.subjectQ-Learning
dc.subjectWireless sensor networks
dc.subjectAccess control
dc.subjectWireless sensor networks
dc.subjectALOHA
dc.subjectEnvironment conditions
dc.subjectExploration/exploitation
dc.subjectExtensive simulations
dc.subjectMedium access control(MAC)
dc.subjectQ-learning
dc.subjectQ-learning approach
dc.subjectTransmission strategies
dc.subjectMedium access control
dc.subjectALOHA
dc.subjectMedium access control
dc.subjectQ-Learning
dc.subjectWireless sensor networks
dc.subjectAccess control
dc.subjectWireless sensor networks
dc.subjectALOHA
dc.subjectEnvironment conditions
dc.subjectExploration/exploitation
dc.subjectExtensive simulations
dc.subjectMedium access control(MAC)
dc.subjectQ-learning
dc.subjectQ-learning approach
dc.subjectTransmission strategies
dc.subjectMedium access control
dc.titleUse of Q-learning approaches for practical medium access control in wireless sensor networksen_US
dc.typearticleen_US
dc.relation.journalEngineering Applications of Artificial Intelligenceen_US
dc.contributor.departmentBayburt Universityen_US
dc.contributor.authorID36975673200
dc.contributor.authorID55532094000
dc.contributor.authorID34571564500
dc.contributor.authorID7004927899
dc.contributor.authorID7202915655
dc.identifier.volume55
dc.identifier.startpage146
dc.identifier.endpage154
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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