NDLI: Implementation of a CAN system with dual communication channel to enhance the network capacity

Content Provider	IEEE Xplore Digital Library
Author	Jee Hun Park Man Ho Kim Suk Lee Kyung Chang Lee
Copyright Year	2010
Description	Author affiliation: National University Busan, Korea (Jee Hun Park; Man Ho Kim; Suk Lee) \|\| Pukyong National University Busan, Korea (Kyung Chang Lee)
Abstract	The controller area network (CAN) protocol is the most widely used in-vehicle network because it provides bounded transmission delay among electronic control units (ECUs) at data rates between 125Kbps and 1Mbps. And, many automotive companies have chosen the CAN protocol for their in-vehicle networking (IVN) system such as chassis network system of intelligent vehicles because of its excellent communication characteristics. However, the increasing number of ECUs and the need for more intelligent functions of advanced driver assistance systems (ADASs) or in-vehicle information systems (IVISs) require a network with more network capacity and real-time quality-of-service (QoS). As one approach to enhancing the network capacity of a CAN system, this paper introduces a CAN system with dual communication channel. And, this paper presents message allocation algorithm that allocates messages to the more appropriate channel using forecast traffic of each channel. An experimental testbed using commercial off-the-shelf microcontrollers with two CAN controllers was used to demonstrate the feasibility of the CAN system with dual communication channel using message allocation algorithm.
Starting Page	3135
Ending Page	3140
File Size	585478
Page Count	6
File Format	PDF
ISBN	9781424452255
ISSN	1553572X
DOI	10.1109/IECON.2010.5675026
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Resource management Delay Communication channels Protocols Prediction algorithms Smoothing methods Prediction methods
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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