Background
Type: Article

Statistical Based Algorithm for Reducing Residual Error in Embedded Systems Implemented Using the Controller Area Network

Journal: IEEE Access (21693536)Year: 2020Volume: 8Issue: Pages: 133817 - 133826
GoldDOI:10.1109/ACCESS.2020.3008872Language: English

Abstract

In this paper, a new approach is introduced to reduce bit stuffing and consequently residual error probability in the controller area network (CAN). The proposed method is based on XOR masking. Unlike the XOR method, the proposed approach does not use a fixed mask for all IDs. Using statistical parameters of data, a proper mask for each CAN ID is generated and applied to the messages before transmitting. The performance of the method to reduce bit stuffing and residual error probability has been evaluated by considering a real data set. Results show that the method can significantly reduce bit stuffing and residual error probability. A comparison has been also conducted with previously reported methods. The results show the superiority of the SMC method in reducing residual error without payload and data transfer rate reduction. © 2013 IEEE.


Author Keywords

Controller area network (CAN)residual errorstuff bit (SB)

Other Keywords

Control system synthesisControllersData transferData transfer ratesEmbedded systemsErrorsProbabilityProcess controlBit stuffingsController area networkNew approachesReal data setsResidual errorResidual error probabilityStatistical parametersTransfer ratesData reduction