Multiconstraint Routing and Relay Scheduling Algorithms for Optical Networks

The challenge of optimal optical signal transmission in optical fiber networks is crucial for enhancing the network’s reliability, performance, and service quality. Traditional pathfinding methods, such as Dijkstra’s algorithm, focus on finding the shortest path but fail to account for critical factors like optical signal loss and wavelength continuity. This paper proposes a novel algorithm that integrates traditional pathfinding methods with multi-constraint checks to effectively overcome these challenges. Inspired by the similarity between multi-constrained pathfinding in optical networks and vehicle charging path planning model, our approach aims to identify the optimal path in large-scale optical networks quickly. The simulation results demonstrate that our approach successfully addresses the complex requirements of optical signal routing and relay under multiple constraints, achieving promising outcomes.

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Publication Details

Published
2024-10-24
DOI
https://doi.org/10.1109/asiancomnet63184.2024.10811040
Primary Topic
Advanced Optical Network Technologies
Type
article
Field-Weighted Citation Impact
0.00

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Multiconstraint Routing and Relay Scheduling Algorithms for Optical Networks

Zihui Tang, Jianjun Yang, Longjiang Li, Yang Jiao et al.
Advanced Optical Network Technologies
article

Multiconstraint Routing and Relay Scheduling Algorithms for Optical Networks

Zihui Tang, Jianjun Yang, Longjiang Li, Yang Jiao, Rong Jia
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Abstract

The challenge of optimal optical signal transmission in optical fiber networks is crucial for enhancing the network’s reliability, performance, and service quality. Traditional pathfinding methods, such as Dijkstra’s algorithm, focus on finding the shortest path but fail to account for critical factors like optical signal loss and wavelength continuity. This paper proposes a novel algorithm that integrates traditional pathfinding methods with multi-constraint checks to effectively overcome these challenges. Inspired by the similarity between multi-constrained pathfinding in optical networks and vehicle charging path planning model, our approach aims to identify the optimal path in large-scale optical networks quickly. The simulation results demonstrate that our approach successfully addresses the complex requirements of optical signal routing and relay under multiple constraints, achieving promising outcomes.

University of Electronic Science and Technology of China (CN)
National Natural Science Foundation of China, Research and Development
Affordable and clean energy
Openalex Percentile: Top 77%
Advanced Optical Network Technologies
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