Research on Routing Optimization Algorithm for Power OTN Based on DQN

Routing optimization is key to improve the performance of power OTN. To solve the unequally distributed traffic load in power OTN, this paper put forward a power OTN routing optimization algorithm based on DQN. The power OTN was logically divided into states according to the technology characteristics of DQN, with corresponding actions, rewards and DQN agent designed for its operation. It generated optimized routing strategies that produce network routing optimization after several rounds of device-level iteration. The experimental method verified good convergence and effectiveness of the algorithm through simulation experiments on a 14 nodes NSFNet network.

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Published
2024-12-20
DOI
https://doi.org/10.1145/3712623.3712649
Primary Topic
Advanced Optical Network Technologies
Type
article
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article

Research on Routing Optimization Algorithm for Power OTN Based on DQN

Yujun He, Yang Hu, Qiang Zhang, Yu Yang
Advanced Optical Network Technologies
article

Research on Routing Optimization Algorithm for Power OTN Based on DQN

Yujun He, Yang Hu, Qiang Zhang, Yu Yang
article en

Abstract

Routing optimization is key to improve the performance of power OTN. To solve the unequally distributed traffic load in power OTN, this paper put forward a power OTN routing optimization algorithm based on DQN. The power OTN was logically divided into states according to the technology characteristics of DQN, with corresponding actions, rewards and DQN agent designed for its operation. It generated optimized routing strategies that produce network routing optimization after several rounds of device-level iteration. The experimental method verified good convergence and effectiveness of the algorithm through simulation experiments on a 14 nodes NSFNet network.

North China Electric Power University (CN), Jilin Electric Power Research Institute (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 75%
Advanced Optical Network Technologies
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