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Enabling Scalability and Flexibility into Network Routing Protocol using Behavior Tree

Research output: Contribution to Journal/Magazine › Journal article › peer-review

E-pub ahead of print

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Enabling Scalability and Flexibility into Network Routing Protocol using Behavior Tree. / Huang, Jiaorui; Yang, Chungang; Feng, Tao et al.
In: IEEE Network, 09.06.2025.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Huang, J, Yang, C, Feng, T, Dong, L, Anpalagan, A, Ni, Q & Guizani, M 2025, 'Enabling Scalability and Flexibility into Network Routing Protocol using Behavior Tree', IEEE Network. https://doi.org/10.1109/mnet.2025.3577627

APA

Huang, J., Yang, C., Feng, T., Dong, L., Anpalagan, A., Ni, Q., & Guizani, M. (2025). Enabling Scalability and Flexibility into Network Routing Protocol using Behavior Tree. IEEE Network. Advance online publication. https://doi.org/10.1109/mnet.2025.3577627

Vancouver

Huang J, Yang C, Feng T, Dong L, Anpalagan A, Ni Q et al. Enabling Scalability and Flexibility into Network Routing Protocol using Behavior Tree. IEEE Network. 2025 Jun 9. Epub 2025 Jun 9. doi: 10.1109/mnet.2025.3577627

Author

Huang, Jiaorui ; Yang, Chungang ; Feng, Tao et al. / Enabling Scalability and Flexibility into Network Routing Protocol using Behavior Tree. In: IEEE Network. 2025.

Bibtex

@article{13c7359f7ae246688bff5b9242367aff,
title = "Enabling Scalability and Flexibility into Network Routing Protocol using Behavior Tree",
abstract = "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.",
author = "Jiaorui Huang and Chungang Yang and Tao Feng and Lujia Dong and Alagan Anpalagan and Qiang Ni and Mohsen Guizani",
year = "2025",
month = jun,
day = "9",
doi = "10.1109/mnet.2025.3577627",
language = "English",
journal = "IEEE Network",
issn = "0890-8044",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

RIS

TY - JOUR

T1 - Enabling Scalability and Flexibility into Network Routing Protocol using Behavior Tree

AU - Huang, Jiaorui

AU - Yang, Chungang

AU - Feng, Tao

AU - Dong, Lujia

AU - Anpalagan, Alagan

AU - Ni, Qiang

AU - Guizani, Mohsen

PY - 2025/6/9

Y1 - 2025/6/9

N2 - 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.

AB - 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.

U2 - 10.1109/mnet.2025.3577627

DO - 10.1109/mnet.2025.3577627

M3 - Journal article

JO - IEEE Network

JF - IEEE Network

SN - 0890-8044

ER -