TY - GEN
T1 - Modeling effects of physical factors on controller area network in cyber-physical systems
AU - Shen, Bo
AU - Zhou, Xingshe
AU - Wang, Ru
PY - 2013
Y1 - 2013
N2 - Cyber-physical systems (CPS) are becoming a promising research field to integrate the computing components, the physical processes, and the communication networks. A primary challenge in designing CPS is to understand the effect of physical factors on the communication. In the paper we propose a mathematical model to present the relations between the performance of Controller Area Network (CAN) and some physical factors, such as the temperature, the impedance value and the electromagnetic interference. The first two factors are not considered in previous studies, while the error-arriving models are often used to describe the latter one. The proposed model is based on the probability density function of the voltage generated by noise. Using the model, we can obtain insights into the bit-error rate as a function of these physical factors. Compared to existing error models of CAN, our model is more accurate. Our work provides fundamental insights into the impact of the physical factors on communication.
AB - Cyber-physical systems (CPS) are becoming a promising research field to integrate the computing components, the physical processes, and the communication networks. A primary challenge in designing CPS is to understand the effect of physical factors on the communication. In the paper we propose a mathematical model to present the relations between the performance of Controller Area Network (CAN) and some physical factors, such as the temperature, the impedance value and the electromagnetic interference. The first two factors are not considered in previous studies, while the error-arriving models are often used to describe the latter one. The proposed model is based on the probability density function of the voltage generated by noise. Using the model, we can obtain insights into the bit-error rate as a function of these physical factors. Compared to existing error models of CAN, our model is more accurate. Our work provides fundamental insights into the impact of the physical factors on communication.
KW - Controller Area Network (CAN)
KW - Cyber-physical systems (CPS)
KW - Electromagnetic interference
KW - Performance analysis
KW - Temperature
UR - http://www.scopus.com/inward/record.url?scp=84893482234&partnerID=8YFLogxK
U2 - 10.1109/GreenCom-iThings-CPSCom.2013.215
DO - 10.1109/GreenCom-iThings-CPSCom.2013.215
M3 - 会议稿件
AN - SCOPUS:84893482234
SN - 9780769550466
T3 - Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013
SP - 1237
EP - 1241
BT - Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013
T2 - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013
Y2 - 20 August 2013 through 23 August 2013
ER -