A Round-robin Scheduling Algorithm of Vehicle Gateway Node Based on Self-adaptive Weighted Learning

DOI

10.2991/iccsee.2013.436How to use a DOI?

Keywords

component, gateway queue, self-adaption weight, round -robin scheduling

Abstract

How to decrease the gateway queue delay in the Train Communication Network (TCN) with heavy communication load is a key problem. This paper models the queue scheduling as a reinforcement learning process and presents a self-adaptive scheduling algorithm of vehicle gateway node based on self-adaptive weighted learning. The proposed algorithm can schedule the queues dynamically. We then compare the simulation results respectively under two circumstance: with enough band resource or with limited band resource. The proposed algorithm’s superiority is proved by simulation.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiaoyong Zhang
AU  - Jun Peng
AU  - Shuo Li
PY  - 2013/03
DA  - 2013/03
TI  - A Round-robin Scheduling Algorithm of Vehicle Gateway Node Based on Self-adaptive Weighted Learning
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1741
EP  - 1744
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.436
DO  - 10.2991/iccsee.2013.436
ID  - Zhang2013/03
ER  -