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Appl. Sci. 2018, 8(9), 1594;

A Design of a Lightweight In-Vehicle Edge Gateway for the Self-Diagnosis of an Autonomous Vehicle

Department of Computer Engineering, Catholic Kwandong University, Gangneung 25601, Korea
Department of Regional Economics, Kangwon National University, Samcheok 25913, Korea
Author to whom correspondence should be addressed.
Received: 8 August 2018 / Revised: 22 August 2018 / Accepted: 6 September 2018 / Published: 9 September 2018
(This article belongs to the Special Issue Fault Detection and Diagnosis in Mechatronics Systems)
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This paper proposes a Lightweight In-Vehicle Edge Gateway (LI-VEG) for the self-diagnosis of an autonomous vehicle, which supports a rapid and accurate communication between in-vehicle sensors and a self-diagnosis module and between in-vehicle protocols. A paper on the self-diagnosis module has been published previously, thus this paper only covers the LI-VEG, not the self-diagnosis. The LI-VEG consists of an In-Vehicle Sending and Receiving Layer (InV-SRL), an InV-Management Layer (InV-ML) and an InV-Data Translator Layer (InV-DTL). First, the InV-SRL receives the messages from FlexRay, Control Area Network (CAN), Media Oriented Systems Transport (MOST), and Ethernet and transfers the received messages to the InV-ML. Second, the InV-ML manages the message transmission and reception of FlexRay, CAN, MOST, and Ethernet and an Address Mapping Table. Third, the InV-DTL decomposes the message of FlexRay, CAN, MOST, and Ethernet and recomposes the decomposed messages to the frame suitable for a destination protocol. The performance analysis of the LI-VEG shows that the transmission delay time about message translation and transmission is reduced by an average of 10.83% and the transmission delay time caused by traffic overhead is improved by an average of 0.95%. Therefore, the LI-VEG has higher compatibility and is more cost effective because it applies a software gateway to the OBD, compared to a hardware gateway. In addition, it can reduce the transmission error and overhead caused by message decomposition because of a lightweight message header. View Full-Text
Keywords: Address Mapping Table; In-Vehicle Edge Gateway; self-diagnosis Address Mapping Table; In-Vehicle Edge Gateway; self-diagnosis

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Jeong, Y.; Son, S.; Jeong, E.; Lee, B. A Design of a Lightweight In-Vehicle Edge Gateway for the Self-Diagnosis of an Autonomous Vehicle. Appl. Sci. 2018, 8, 1594.

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