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Traffic-balancing algorithm for can systems with dual communication channels to enhance the network capacity
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dc.contributor.author Lee, S. -
dc.contributor.author Lee, D. H. -
dc.contributor.author Kim, M. H. -
dc.contributor.author Lee, K. C. -
dc.date.accessioned 2018-01-25T01:17:51Z -
dc.date.available 2018-01-25T01:17:51Z -
dc.date.created 2017-04-10 -
dc.date.issued 2010-08 -
dc.identifier.issn 1229-9138 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/5484 -
dc.description.abstract The controller area network (CAN) is the dominant protocol for in-vehicle network (IVN) systems because it provides bounded transmission delay among electronic control units (ECUs) at data rates between 100 Kbps and 1 Mbps. Many automotive companies have chosen the CAN protocol for their chassis network system of intelligent vehicles. However, the increasing number of ECUs in intelligent vehicles and the need for more intelligent functions require a network system with more network capacity and real-time capability. As one approach to enhance the network capacity of a CAN system, this paper introduces a CAN system with dual communication channels. This paper also presents a traffic-balancing algorithm that predicts the traffic of each channel and allocates frames to the most appropriate channel. An experimental testbed using commercial off-the-shelf microcontrollers with two CAN controllers was used to demonstrate the feasibility of the traffic-balancing algorithm. © 2010 The Korean Society of Automotive Engineers and Springer-Verlag Berlin Heidelberg. -
dc.publisher Korean Society of Automotive Engineers -
dc.title Traffic-balancing algorithm for can systems with dual communication channels to enhance the network capacity -
dc.type Article -
dc.identifier.doi 10.1007/s12239-010-0064-7 -
dc.identifier.wosid 000279216800010 -
dc.identifier.scopusid 2-s2.0-77954153044 -
dc.identifier.bibliographicCitation Lee, S. (2010-08). Traffic-balancing algorithm for can systems with dual communication channels to enhance the network capacity. International Journal of Automotive Technology, 11(4), 525–531. doi: 10.1007/s12239-010-0064-7 -
dc.subject.keywordAuthor Traffic-balancing algorithm -
dc.subject.keywordAuthor Traffic prediction method -
dc.subject.keywordAuthor Message allocation method -
dc.subject.keywordAuthor Double exponential smoothing method -
dc.subject.keywordAuthor Controller Area Network (CAN) -
dc.subject.keywordAuthor In-vehicle network (IVN) system -
dc.subject.keywordPlus Algorithms -
dc.subject.keywordPlus Allocation Methods -
dc.subject.keywordPlus Balancing Algorithms -
dc.subject.keywordPlus Communication Channels (Information Theory) -
dc.subject.keywordPlus Control System Synthesis -
dc.subject.keywordPlus Controller Area Network -
dc.subject.keywordPlus Controller Area Network (CAN) -
dc.subject.keywordPlus Controllers -
dc.subject.keywordPlus Double Exponential Smoothing Method -
dc.subject.keywordPlus Electronics Industry -
dc.subject.keywordPlus Exponential Smoothing Method -
dc.subject.keywordPlus In-Vehicle Network (Ivn) System -
dc.subject.keywordPlus In-Vehicle Networks -
dc.subject.keywordPlus Intelligent Vehicle Highway Systems -
dc.subject.keywordPlus Message Allocation Method -
dc.subject.keywordPlus Network Protocols -
dc.subject.keywordPlus Power Electronics -
dc.subject.keywordPlus Process Control -
dc.subject.keywordPlus Telecommunication Networks -
dc.subject.keywordPlus Traffic-Balancing Algorithm -
dc.subject.keywordPlus Traffic Prediction -
dc.subject.keywordPlus Traffic Prediction Method -
dc.subject.keywordPlus Vehicles -
dc.citation.endPage 531 -
dc.citation.number 4 -
dc.citation.startPage 525 -
dc.citation.title International Journal of Automotive Technology -
dc.citation.volume 11 -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.relation.journalResearchArea Engineering; Transportation -
dc.relation.journalWebOfScienceCategory Engineering, Mechanical; Transportation Science & Technology -
dc.type.docType Article -
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