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Enabling Scalability and Flexibility Into Network Routing Protocol Using Behavior Tree

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PRE
AI
J
Jiaorui Huang
C
Chungang Yang
L
Lujia Dong
Alagan Anpalagan 封面图
Alagan Anpalagan (Alagan Anpalagan)
Q
Qiang Ni
M
Mohsen Guizani
DOI:10.1109/MNET.2025.3577627delete
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摘要

摘要

En 中文
Current network routing protocol design is faced with novel challenges due to evolving network scale, various network service demands, and dynamic network states. However, the conventional finite state machine models lack both scalability and flexibility for the description of network routing protocol states. In this article, we enable scalability and flexibility into network routing protocol by exploring and exploiting behavior trees, where behavior trees can reformulate the network routing protocol by characterizing state transformation as action nodes. We first present a generic routing protocol architecture with a comparative analysis of the behavior tree, finite state machine, etc. Then, we propose an implementable functional scheme, which provides a foundation for extending the functionality and enabling flexible configurations towards the network routing protocol. Finally, we design two use cases to verify that behavior trees can effectively replace finite state machines and the excellent scalability of behavior trees in terms of routing protocols.
Keyword:
Behavior Tree
Control Plane Decoupling
Network Routing Protocol

期刊

IEEE Network 封面图
IEEE Network
IF:
6.3
论文数:
2.7K
被引数:
1.1W

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Lancaster University
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9.5K
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被引数: 1.7W
X
xidian university
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6.6K
论文数: 2.2K
被引数: 0
M
mohamed bin zayed university of artificial intelligence
学者数:
30
论文数: 38
被引数: 0
A
academy of military sciences
学者数:
257
论文数: 88
被引数: 0
T
toronto metropolitan university
学者数:
1.1K
论文数: 649
被引数: 0
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