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Research on Routing Optimization Algorithm for Power OTN Based on DQN

AAIA '24 Proceedings of the 2024 2nd International Conference on Advances in Artificial Intelligence and Applications(2025)

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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.
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