A Performance Model of Controller Area Networks for Vehicles under Unsaturated Traffic

Jin-Yeong Um
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引用次数: 2

Abstract

This paper proposes a performance model of Controller Area Networks (CAN) to measure the effect of bit-error, especially on an identifier field of CAN messages over erroneous channels. CAN were introduced to allow various devices embedded inside cars to communicate in real-time over a shared channel. For resolving collisions in a real-time way, CAN adopt a contention-free protocol, namely a bit-map algorithm where messages are bitwise arbitrated based on their priority, precisely the identifier in CAN’s messages when multiple nodes contend for the shared channel. Contamination on the identifier, therefore, can severely degrade the performance of CAN since all senders recognizing errors immediately terminate their transmission and wait for a certain amount of time to resume competition. Furthermore, when the number of errors experienced exceeds the predetermined threshold, CAN stays at the bus-off mode where no messages are sent, requiring outside intervention to be back to the normal operational mode. To predict the performance deterioration of CAN over noisy channels, this paper builds a Markov chain model of CAN.
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不饱和交通条件下车辆控制器区域网络的性能模型
本文提出了一个控制器局域网(CAN)的性能模型来测量误码的影响,特别是误码对错误信道上CAN报文标识字段的影响。引入CAN是为了允许嵌入在汽车内部的各种设备通过共享通道进行实时通信。为了实时解决冲突,CAN采用无争用协议,即位图算法,消息根据其优先级进行位仲裁,即多个节点争夺共享通道时CAN消息中的标识符。因此,标识符上的污染会严重降低can的性能,因为所有识别错误的发送方都会立即终止其传输,并等待一定的时间来恢复竞争。此外,当经历的错误数量超过预定的阈值时,CAN保持在不发送消息的总线关闭模式,需要外部干预才能回到正常的操作模式。为了预测CAN在噪声信道下的性能下降,本文建立了CAN的马尔可夫链模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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