A neural network approach for controller area network message scheduling control

Chuan Ku Lin, Hao Wei Yen, Mu Song Chen, Chi Pan Hwang, Nguyen Minh Thanh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper, a novel approach for Controller Area Network (CAN) message scheduling control is proposed. The proposed method utilizes a single hidden layer neural network, i.e. Radial Basis Function Network (RBFN), such that the CAN's bandwidth can be shared properly among different messages. CAN was initially developed for the automotive industry to solve the cabling problems found in some kinds of vehicles. However, CAN is not able to satisfy all the communication needs of the industrial automation and process control scenarios. In particular, the basic protocol in CAN can neither ensure deterministically bounded transmission times for RT (real-time) data exchanges nor a fair share out of the network bandwidth among non-RT application processes. Therefore, CAN must carry both RT messages as well as non-RT messages in order to meet the requirements of a dynamic distributed system. All these messages must be properly scheduled on the network so that RT messages meet their deadlines while co-existing with non-RT messages. To solve these problems, we present a neural network approach to dynamically schedule and distribute the system bandwidth. At the same time, the transmission time can meet the basic requirements. The experimental results clearly show the effectiveness of the proposed technique in solving the message scheduling problems in CAN.

Original languageEnglish
Title of host publicationIMECS 2006 - International MultiConference of Engineers and Computer Scientists 2006
Pages36-41
Number of pages6
Publication statusPublished - 2006 Dec 1
EventInternational MultiConference of Engineers and Computer Scientists 2006, IMECS 2006 - Kowloon, Hong Kong
Duration: 2006 Jun 202006 Jun 22

Other

OtherInternational MultiConference of Engineers and Computer Scientists 2006, IMECS 2006
CountryHong Kong
CityKowloon
Period06-06-2006-06-22

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All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)

Cite this

Lin, C. K., Yen, H. W., Chen, M. S., Hwang, C. P., & Thanh, N. M. (2006). A neural network approach for controller area network message scheduling control. In IMECS 2006 - International MultiConference of Engineers and Computer Scientists 2006 (pp. 36-41)