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车辆网络中 FlexRay 静态段的可靠性调度算法。

A Reliability Scheduling Algorithm for the Static Segment of FlexRay on Vehicle Networks.

机构信息

Department of Electronic Engineering, National Taipei University of Technology, Taipei 10608, Taiwan.

出版信息

Sensors (Basel). 2018 Nov 5;18(11):3783. doi: 10.3390/s18113783.

Abstract

FlexRay is a next-generation in-vehicle communication protocol which works in real time with flexibility. The most common applications in FlexRay are high bandwidth. X-by-wire applications, such as brake by wire and throttle by wire. However, there is no mechanism which can prevent transient faults in the application layer of FlexRay. If a transient fault occurs during driving, this would be very dangerous; therefore, we propose a fast reliability scheduling algorithm (FRSA) to improve the communication reliability of FlexRay. The proposed method reduces the probability of transient faults in one clock cycle by using a retransmission mechanism to recover the transient errors, and further improves computational complexity using the lookup table method to ensure system reliability. In this paper, we analyze a related literature to establish the system reliability constraints needed to evaluate the necessary time and slot usage, and the proposed cost function is used to evaluate the performance and efficiency when the number of messages is increased. Experimental results show that the proposed FRSA reduces execution time by an average 70.76% and cost by an average 13.33% more than the other existing methods. This method can be useful to others, especially regarding research about periodic time-triggered communication systems.

摘要

FlexRay 是一种新一代的车载通信协议,具有实时性和灵活性。FlexRay 最常见的应用是高带宽的线控应用,如线控制动和线控油门。然而,FlexRay 的应用层没有能够防止瞬态故障的机制。如果在行驶过程中发生瞬态故障,这将非常危险;因此,我们提出了一种快速可靠性调度算法(FRSA)来提高 FlexRay 的通信可靠性。该方法通过使用重传机制在一个时钟周期内降低瞬态故障的概率,以恢复瞬态错误,并进一步使用查找表方法提高计算复杂度,以确保系统可靠性。在本文中,我们分析了相关文献,建立了系统可靠性约束条件,以评估所需的时间和时隙使用情况,所提出的代价函数用于评估消息数量增加时的性能和效率。实验结果表明,与其他现有方法相比,所提出的 FRSA 平均减少了 70.76%的执行时间和 13.33%的开销。这种方法对于其他研究人员,特别是对于周期性时间触发通信系统的研究人员来说,可能非常有用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b25f/6263892/3f1a4dcec756/sensors-18-03783-g001.jpg

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