Design of Real-Time CAN Framework Based on Plug and Play Functionality


Sungheo Kim, Kwang-il Hwang, Journal of Information Processing Systems
Vol. 13, No. 2, pp. 348-359, Apr. 2017
10.3745/JIPS.03.0071
Keywords: Controller Area Networks, Plug and Play, real-time
Fulltext:

Abstract

Nowadays most vehicles are equipped with a variety of electronic devices to improve user convenience as well as its performance itself. In order to efficiently interconnect these devices with each other, Controller Area Network (CAN) is commonly used. However, the CAN requires reconfiguration of the entire network when a new device, which is capable of supporting both of transmission and reception of data, is added to the existing network. In addition, since CAN is based on the collision avoidance using address priority, it is difficult that a new node is assigned high priority and eventually it results in transmission delay of the entire network. Therefore, in this paper we propose a new system component, called CAN coordinator, and design a new CAN framework capable of supporting plug and play functionality. Through experiments, we also prove that the proposed framework can improve real-time ability based on plug and play functionality.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.




Cite this article
[APA Style]
Sungheo Kim and Kwang-il Hwang (2017). Design of Real-Time CAN Framework Based on Plug and Play Functionality. Journal of Information Processing Systems, 13(2), 348-359. DOI: 10.3745/JIPS.03.0071.

[IEEE Style]
S. Kim and K. Hwang, "Design of Real-Time CAN Framework Based on Plug and Play Functionality," Journal of Information Processing Systems, vol. 13, no. 2, pp. 348-359, 2017. DOI: 10.3745/JIPS.03.0071.

[ACM Style]
Sungheo Kim and Kwang-il Hwang. 2017. Design of Real-Time CAN Framework Based on Plug and Play Functionality. Journal of Information Processing Systems, 13, 2, (2017), 348-359. DOI: 10.3745/JIPS.03.0071.