Window Classification Strategy RWA Algorithm Based on Bee Colony in Satellite Optical Networks

Le Yuan; Yuanfeng Li; Qi Zhang; Furong Chai; Xiangjun Xin; Jinxi Qian; Fu Wang; Feng Tian; Qinghua Tian; Meng Sun

doi:10.1109/ICICN59530.2023.10393208

Window Classification Strategy RWA Algorithm Based on Bee Colony in Satellite Optical Networks

Le Yuan, Yuanfeng Li, Qi Zhang^*, Furong Chai, Xiangjun Xin, Jinxi Qian, Fu Wang, Feng Tian, Qinghua Tian, Meng Sun

^*Corresponding author for this work

School of Information and Electronics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper proposes a bee colony optimization RWA algorithm based on window classification strategy. The algorithm can use the window classification strategy for node selection, and adaptively adjust the fitness function for different services to evaluate the existing feasible solutions. Simulation results show that this algorithm has superior performance in terms of blocking rate and delay.

Original language	English
Title of host publication	ICICN 2023 - 2023 IEEE 11th International Conference on Information, Communication and Networks
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	224-228
Number of pages	5
ISBN (Electronic)	9798350314014
DOIs	https://doi.org/10.1109/ICICN59530.2023.10393208
Publication status	Published - 2023
Event	2023 IEEE 11th International Conference on Information, Communication and Networks, ICICN 2023 - Hybrid, Xi'an, China Duration: 17 Aug 2023 → 20 Aug 2023

Publication series

Name	ICICN 2023 - 2023 IEEE 11th International Conference on Information, Communication and Networks

Conference

Conference	2023 IEEE 11th International Conference on Information, Communication and Networks, ICICN 2023
Country/Territory	China
City	Hybrid, Xi'an
Period	17/08/23 → 20/08/23

Keywords

bee colony
routing and wavelength assignment
satellite optical networks
window classification

Access to Document

10.1109/ICICN59530.2023.10393208

Cite this

Yuan, L., Li, Y., Zhang, Q., Chai, F., Xin, X., Qian, J., Wang, F., Tian, F., Tian, Q., & Sun, M. (2023). Window Classification Strategy RWA Algorithm Based on Bee Colony in Satellite Optical Networks. In ICICN 2023 - 2023 IEEE 11th International Conference on Information, Communication and Networks (pp. 224-228). (ICICN 2023 - 2023 IEEE 11th International Conference on Information, Communication and Networks). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICICN59530.2023.10393208

Yuan, Le ; Li, Yuanfeng ; Zhang, Qi et al. / Window Classification Strategy RWA Algorithm Based on Bee Colony in Satellite Optical Networks. ICICN 2023 - 2023 IEEE 11th International Conference on Information, Communication and Networks. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 224-228 (ICICN 2023 - 2023 IEEE 11th International Conference on Information, Communication and Networks).

@inproceedings{afa3ae2c1cff407d80f235d89694890c,

title = "Window Classification Strategy RWA Algorithm Based on Bee Colony in Satellite Optical Networks",

abstract = "This paper proposes a bee colony optimization RWA algorithm based on window classification strategy. The algorithm can use the window classification strategy for node selection, and adaptively adjust the fitness function for different services to evaluate the existing feasible solutions. Simulation results show that this algorithm has superior performance in terms of blocking rate and delay.",

keywords = "bee colony, routing and wavelength assignment, satellite optical networks, window classification",

author = "Le Yuan and Yuanfeng Li and Qi Zhang and Furong Chai and Xiangjun Xin and Jinxi Qian and Fu Wang and Feng Tian and Qinghua Tian and Meng Sun",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE 11th International Conference on Information, Communication and Networks, ICICN 2023 ; Conference date: 17-08-2023 Through 20-08-2023",

year = "2023",

doi = "10.1109/ICICN59530.2023.10393208",

language = "English",

series = "ICICN 2023 - 2023 IEEE 11th International Conference on Information, Communication and Networks",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "224--228",

booktitle = "ICICN 2023 - 2023 IEEE 11th International Conference on Information, Communication and Networks",

address = "United States",

}

Yuan, L, Li, Y, Zhang, Q, Chai, F, Xin, X, Qian, J, Wang, F, Tian, F, Tian, Q & Sun, M 2023, Window Classification Strategy RWA Algorithm Based on Bee Colony in Satellite Optical Networks. in ICICN 2023 - 2023 IEEE 11th International Conference on Information, Communication and Networks. ICICN 2023 - 2023 IEEE 11th International Conference on Information, Communication and Networks, Institute of Electrical and Electronics Engineers Inc., pp. 224-228, 2023 IEEE 11th International Conference on Information, Communication and Networks, ICICN 2023, Hybrid, Xi'an, China, 17/08/23. https://doi.org/10.1109/ICICN59530.2023.10393208

Window Classification Strategy RWA Algorithm Based on Bee Colony in Satellite Optical Networks. / Yuan, Le; Li, Yuanfeng; Zhang, Qi et al.
ICICN 2023 - 2023 IEEE 11th International Conference on Information, Communication and Networks. Institute of Electrical and Electronics Engineers Inc., 2023. p. 224-228 (ICICN 2023 - 2023 IEEE 11th International Conference on Information, Communication and Networks).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Window Classification Strategy RWA Algorithm Based on Bee Colony in Satellite Optical Networks

AU - Yuan, Le

AU - Li, Yuanfeng

AU - Zhang, Qi

AU - Chai, Furong

AU - Xin, Xiangjun

AU - Qian, Jinxi

AU - Wang, Fu

AU - Tian, Feng

AU - Tian, Qinghua

AU - Sun, Meng

PY - 2023

Y1 - 2023

N2 - This paper proposes a bee colony optimization RWA algorithm based on window classification strategy. The algorithm can use the window classification strategy for node selection, and adaptively adjust the fitness function for different services to evaluate the existing feasible solutions. Simulation results show that this algorithm has superior performance in terms of blocking rate and delay.

AB - This paper proposes a bee colony optimization RWA algorithm based on window classification strategy. The algorithm can use the window classification strategy for node selection, and adaptively adjust the fitness function for different services to evaluate the existing feasible solutions. Simulation results show that this algorithm has superior performance in terms of blocking rate and delay.

KW - bee colony

KW - routing and wavelength assignment

KW - satellite optical networks

KW - window classification

UR - http://www.scopus.com/inward/record.url?scp=85185008092&partnerID=8YFLogxK

U2 - 10.1109/ICICN59530.2023.10393208

DO - 10.1109/ICICN59530.2023.10393208

M3 - Conference contribution

AN - SCOPUS:85185008092

T3 - ICICN 2023 - 2023 IEEE 11th International Conference on Information, Communication and Networks

SP - 224

EP - 228

BT - ICICN 2023 - 2023 IEEE 11th International Conference on Information, Communication and Networks

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE 11th International Conference on Information, Communication and Networks, ICICN 2023

Y2 - 17 August 2023 through 20 August 2023

ER -

Yuan L, Li Y, Zhang Q, Chai F, Xin X, Qian J et al. Window Classification Strategy RWA Algorithm Based on Bee Colony in Satellite Optical Networks. In ICICN 2023 - 2023 IEEE 11th International Conference on Information, Communication and Networks. Institute of Electrical and Electronics Engineers Inc. 2023. p. 224-228. (ICICN 2023 - 2023 IEEE 11th International Conference on Information, Communication and Networks). doi: 10.1109/ICICN59530.2023.10393208

Window Classification Strategy RWA Algorithm Based on Bee Colony in Satellite Optical Networks

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