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Offset assignment on controller area network: improved algorithms and computational evaluation

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dc.contributor.author Batur, Ahmet
dc.contributor.author Schmidt, Klaus Werner
dc.contributor.author Schmidt, Ece Güran
dc.date.accessioned 2020-03-20T07:37:31Z
dc.date.available 2020-03-20T07:37:31Z
dc.date.issued 2017
dc.identifier.citation Batur, Ahmet; Schmidt, Klaus Werner; Schmidt, Ece Guran, "Offset assignment on controller area network: improved algorithms and computational evaluation", 2017 12th IEEE International Symposium On Industrial Embedded Systems (SIES), pp.82-90, (2017). tr_TR
dc.identifier.isbn 978-1-5386-3166-9
dc.identifier.issn 2150-3109
dc.identifier.uri http://hdl.handle.net/20.500.12416/2704
dc.description.abstract The basic requirement for the design of the Controller Area Network (CAN) for in-vehicle communication is to guarantee that the worst-case response time (WCRT) of each message is smaller than their specified deadline. In addition, it is desired to achieve small WCRTs that leave sufficient slack to the message deadline. In order to address the specified objectives, the idea of offset scheduling has been introduced. In this setting, messages on CAN are released with offsets in order to avoid message bursts that lead to undesirably large response times. In order to use offset scheduling efficiently, it is required to assign a suitable offset to each message. To this end, a load distribution (LD) algorithm is proposed in the existing literature. The main contribution of this paper is the development of new algorithms for offset assignment on CAN. Evaluating different example scenarios, the paper shows that the proposed algorithms outperform the existing LD algorithm in most of the cases. tr_TR
dc.language.iso eng tr_TR
dc.publisher IEEE tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.title Offset assignment on controller area network: improved algorithms and computational evaluation tr_TR
dc.type conferenceObject tr_TR
dc.relation.journal 2017 12th IEEE International Symposium On Industrial Embedded Systems (SIES) tr_TR
dc.identifier.startpage 82 tr_TR
dc.identifier.endpage 90 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Makina Mühendisliği tr_TR


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