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Open AccessArticle

Methods for Large-Scale Time-Triggered Network Scheduling

School of Innovation, Design and Engineering, Mälardalen University, 72123 Västerås, Sweden
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Electronics 2019, 8(7), 738; https://doi.org/10.3390/electronics8070738
Received: 6 May 2019 / Revised: 20 June 2019 / Accepted: 24 June 2019 / Published: 29 June 2019
(This article belongs to the Special Issue Emerging Trends in Industrial Communication)
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Abstract

Future cyber–physical systems may extend over broad geographical areas, like cities or regions, thus, requiring the deployment of large real-time networks. A strategy to guarantee predictable communication over such networks is to synthesize an offline time-triggered communication schedule. However, this synthesis problem is computationally hard (NP-complete), and existing approaches do not scale satisfactorily to the required network sizes. This article presents a segmented offline synthesis method which substantially reduces this limitation, being able to generate time-triggered schedules for large hybrid (wired and wireless) networks. We also present a series of algorithms and optimizations that increase the performance and compactness of the obtained schedules while solving some of the problems inherent to segmented approaches. We evaluate our approach on a set of realistic large-size multi-hop networks, significantly larger than those considered in the existing literature. The results show that our segmentation reduces the synthesis time by up to two orders of magnitude. View Full-Text
Keywords: real-time networks; scheduling; time-triggered; SMT solvers; cyber-physical systems real-time networks; scheduling; time-triggered; SMT solvers; cyber-physical systems
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Pozo, F.; Rodriguez-Navas, G.; Hansson, H. Methods for Large-Scale Time-Triggered Network Scheduling. Electronics 2019, 8, 738.

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