车载网络的容错静态调度与路由

Ammad Ali Syed, S. Ayaz, T. Leinmüller, Madhu Chandra
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引用次数: 1

摘要

可靠性被认为是未来车辆的首要要求,这需要通过车载网络(IVN)传输大量安全关键数据。为了实现基于以太网的IVN的可靠性,时间敏感网络TSN (time-sensitive network)在IEEE 802.1 CB标准中提出了帧复制和消除可靠性(frame replication and elimination for reliability, FRER)的容错机制。考虑TSN的时间感知整形器(TAS)和FRER标准,研究了静态应用的容错联合调度和路由问题。将容错调度和路由问题表述为一个混合整数规划(MIP)模型,并用CPLEX优化器进行求解。在此基础上,提出了一种基于布谷鸟搜索的元启发式算法。实验结果表明,与最优方案相比,布谷鸟搜索调度90个流需要5.7 min,使用的箱数增加了8%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fault-Tolerant Static Scheduling and Routing for In-vehicle Networks
Reliability is considered the paramount requirement of the future vehicle which requires a huge amount of safety-critical data traversing through the in-vehicle network (IVN). To achieve reliability in Ethernet-based IVN, time-sensitive network (TSN) proposes a fault-tolerant mechanism called frame replication and elimination for reliability (FRER) in IEEE 802.1 CB standard. In this paper, fault-tolerant joint scheduling and routing of static applications is developed which considers TSN's time-aware shaper (TAS) and FRER standards. The fault-tolerant scheduling and routing problem is formulated as a mixed-integer programming (MIP) model and solved with a CPLEX optimizer. Furthermore, a cuckoo search based meta-heuristic is developed to achieve scalable schedule solutions. Experimental results show that the cuckoo search takes 5.7 min to schedules 90 flows and utilizes 8% more bins as compared to the optimal solution.
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