Aug 17, 2018 · Our algorithm enhances the incremental schedulers. It allows schedulers to react to changing at both the flow level and the cluster level.

Our algorithm enhances the incremental schedulers. It allows schedulers to react to changing at both the flow level and the cluster level. Experiments show that ...

An algorithm based on mixed integer linear programming and counterexample guided methodology that can generate adaptive schedule for cluster-level changes ...

The execution time of conventional incremental off-line schedule approaches for time-triggered networks increases rapidly when networks become larger.

Bibliographic details on Adaptive Scheduling for Multicluster Time-Triggered Train Communication Networks.

Apr 25, 2024 · Adaptive Scheduling for Multicluster Time-Triggered Train Communication Networks. IEEE Trans. Ind. Informatics 15(2): 1120-1130 (2019); 2018.

Feb 8, 2021 · This paper investigates an event-triggered adaptive control strategy for multiple high-speed trains (MHSTs) with deception attacks in bottleneck sections.

It establishes a multi-objective flow scheduling model based on a priority strategy, aiming to minimize average response time and makespan while ensuring a ...

... Adaptive Scheduling for Multicluster Time-Triggered Train Communication Networks. IEEE Trans. Industrial Informatics 15(2): 1120-1130 (2019) 3) Zonghui Li ...

Feb 18, 2020 · These networks are often time-triggered and need to handle rapid topology changes in cases where two trains are coupled or decoupled. The first ...