Routing of Safety-Relevant Messages in Automotive ECU Networks

Herpel, Thomas; Kloiber, Bernhard; German, Reinhard; Fey, Steffen

doi:10.1109/vetecf.2009.5378778

Cited by 9 publications

(4 citation statements)

References 5 publications

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“…Thus, in comparison with previous gateways [16][17][18][19][20][21], the gateway framework provides improved reusability, by providing well-designed reusable gateway firmware, configuration software, and verification environment.…”

Section: A Reusabilitymentioning

confidence: 99%

“…Moreover, AUTOSAR does not provide verification environment for the gateway, and it must be implemented. The mean and maximum routing delays for safety-relevant messages between CAN and FlexRay were measured using a data logging system in [17]. Accelerated routing mechanism using a field-programmable gate array (FPGA), to reduce the latency for a gateway was proposed in [18].…”

mentioning

confidence: 99%

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Gateway Framework for In-Vehicle Networks Based on CAN, FlexRay, and Ethernet

Kim

Seo

Hai

et al. 2015

IEEE Trans. Veh. Technol.

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This paper proposes a gateway framework for in-vehicle networks based on CAN, FlexRay, and Ethernet. The proposed gateway framework is designed to be easy to reuse and verify, in order to reduce development costs and time. The gateway framework can be configured, and its verification environment is automatically generated by a program with a dedicated graphical user interface. The gateway framework provides state of the art functionalities that include parallel reprogramming, diagnostic routing, network management, dynamic routing update, multiple routing configuration, and security. The proposed gateway framework was developed, and its performance was analyzed and evaluated.

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Section: A Reusabilitymentioning

confidence: 99%

mentioning

confidence: 99%

Gateway Framework for In-Vehicle Networks Based on CAN, FlexRay, and Ethernet

Kim

Seo

Hai

et al. 2015

IEEE Trans. Veh. Technol.

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“…Researchers have also addressed routing in safety-critical systems [12], [20]. For ARINC 664p7, Al Sheikh et al [1] proposed an approach to find the optimal routes in ARINC 664p7 networks using Mixed Integer Linear Programming.…”

Section: Related Workmentioning

confidence: 99%

Fault-tolerant topology and routing synthesis for IEEE time-sensitive networking

Gavriluţ

Zarrin

Pop

et al. 2017

Proceedings of the 25th International Conference on Real-Time Networks and Systems

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Time-Sensitive Networking (TSN) is a set of IEEE standards that extend Ethernet for safety-critical and real-time applications. TSN is envisioned to be widely used in several applications areas, from industrial automation to in-vehicle networking. A TSN network is composed of end systems interconnected by physical links and bridges (switches). The data in TSN is exchanged via streams. We address safety-critical real-time systems, and we consider that the streams use the Urgency-Based Scheduler (UBS) traffic-type, suitable for hard real-time traffic. We are interested in determining a fault-tolerant network topology, consisting of redundant physical links and bridges, the routing of each stream in the applications, such that the architecture cost is minimized, the applications are fault-tolerant (i.e., the critical streams have redundant disjoint routes), and the timing constraints of the applications are satisfied. We propose three approaches to solve this optimization problem: (1) a heuristic solution, (2) a Greedy Randomized Adaptive Search Procedure (GRASP) metaheuristic, and (3) a Constraint Programmingbased model. The approaches are evaluated on several test cases, including a test case from General Motors Company.

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“…Routing optimization is a well-studied subject where Wang et al [42] and Grammatikakis et al [19] provide excellent overviews of the different centralized and distributed routing algorithms. Researchers have also addressed routing in safety-critical systems [20,27]. For ARINC 664p7, Al Sheikh et al [3] proposed an approach to find the optimal routes in ARINC 664p7 networks using Mixed Integer Linear Programming.…”

Section: Brief Review Of Related Workmentioning

confidence: 99%

Design optimisation of cyber‐physical distributed systems using IEEE time‐sensitive networks

Pop

Raagaard

Craciunas

et al. 2016

IET cyber-phys. syst.

136

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In this paper we are interested in safety-critical real-time applications implemented on distributed architectures supporting the TimeSensitive Networking (TSN) standard. The ongoing standardization of TSN is an IEEE effort to bring deterministic real-time capabilities into the IEEE 802.1 Ethernet standard supporting safety-critical systems and guaranteed Quality-of-Service. TSN will support TimeTriggered (TT) communication based on schedule tables, AudioVideo-Bridging (AVB) flows with bounded end-to-end latency as well as Best-Effort messages. We first present a survey of research related to the optimization of distributed cyber-physical systems using real-time Ethernet for communication. Then, we formulate two novel optimization problems related to the scheduling and routing of TT and AVB traffic in TSN. Thus, we consider that we know the topology of the network as well as the set of TT and AVB flows. We are interested to determine the routing of both TT and AVB flows as well as the scheduling of the TT flows such that all frames are schedulable and the AVB worst-case end-to-end delay is minimized. We have proposed an Integer Linear Programming (ILP) formulation for the scheduling problem and a Greedy Randomized Adaptive Search Procedure (GRASP)-based heuristic for the routing problem. The proposed approaches have been evaluated using several test cases.

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Routing of Safety-Relevant Messages in Automotive ECU Networks

Cited by 9 publications

References 5 publications

Gateway Framework for In-Vehicle Networks Based on CAN, FlexRay, and Ethernet

Gateway Framework for In-Vehicle Networks Based on CAN, FlexRay, and Ethernet

Fault-tolerant topology and routing synthesis for IEEE time-sensitive networking

Design optimisation of cyber‐physical distributed systems using IEEE time‐sensitive networks

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