Research on Multi-Optimizing Strategy for MVB Sporadic Data of Rail Transit On-Board Network

Chun Yang Zhu; Qi Yi Guo

doi:10.4028/www.scientific.net/AMM.543-547.1987

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547Research on Multi-Optimizing Strategy for MVB...

Research on Multi-Optimizing Strategy for MVB Sporadic Data of Rail Transit On-Board Network

Abstract:

In order to improve real-time of MVB sporadic data communication, we study and analysis MVB sporadic data communication scheduling modelling and collision event arbitration mechanism, the communication maximum arbitration delay is closely related with concurrent message events, binary tree search algorithm mechanism bring out big communication delay, so, we makes use of multi-optimizing strategies, applying dynamically assigned communication of sporadic data and slave frame stuffing of process data, decreasing communication delay of sporadic data and making sure that emergent sporadic data firstly send, it is a good try to optimize real-time of sporadic data.

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Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

1987-1994

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.1987

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Online since:

March 2014

Authors:

Chun Yang Zhu*, Qi Yi Guo

Keywords:

Binary Tree Search, Collision Arbitration, Dynamic Communication Bandwith, Multi Vehicle Bus (MVB), Slave Frame Stuffing, Sporadic Data

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