@article{ART003228281},
author={Moon-Sik Kang},
title={Flow-Based QoS Routing Optimization Using AI-Driven Traffic Prediction Scheme},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2025},
volume={30},
number={7},
pages={21-32}
TY - JOUR
AU - Moon-Sik Kang
TI - Flow-Based QoS Routing Optimization Using AI-Driven Traffic Prediction Scheme
JO - Journal of The Korea Society of Computer and Information
PY - 2025
VL - 30
IS - 7
PB - The Korean Society Of Computer And Information
SP - 21
EP - 32
SN - 1598-849X
AB - This paper proposes a flow-level QoS (Quality of Service) routing framework that integrates AI-based traffic prediction to improve real-time network performance. The proposed method uses a LSTM (Long Short-Term Memory) neural network to estimate future traffic loads based on time-series data collected in a SDN (Software-Defined Networking) environment. Using the predicted traffic, the SDN controller dynamically adjusts link weights considering latency, congestion, and packet loss, and computes optimized paths via a modified Dijkstra algorithm. The system was implemented in a Mininet-based SDN testbed.
Experimental results show that the proposed LSTM-based routing method significantly outperforms both static and non-predictive dynamic routing in terms of delay, packet loss, throughput, and path stability.
Average latency was reduced by 30%, with routing decision time maintained below 100ms. Additionally, this system enables fast integration of predictions through a RESTful API that connects the predictor and SDN controller. In this paper, we experimentally demonstrate the effectiveness and adaptability of prediction-based QoS routing, and show that it is a structure that can be applied to future real-time network environments such as high-reliability networks, large-scale IoT environments, and smart city systems.
KW - AI-Based Network Optimization;LSTM Neural Network;QoS Routing;Real-Time Network Control;SDN;Traffic Prediction
DO -
UR -
ER -
Moon-Sik Kang. (2025). Flow-Based QoS Routing Optimization Using AI-Driven Traffic Prediction Scheme. Journal of The Korea Society of Computer and Information, 30(7), 21-32.
Moon-Sik Kang. 2025, "Flow-Based QoS Routing Optimization Using AI-Driven Traffic Prediction Scheme", Journal of The Korea Society of Computer and Information, vol.30, no.7 pp.21-32.
Moon-Sik Kang "Flow-Based QoS Routing Optimization Using AI-Driven Traffic Prediction Scheme" Journal of The Korea Society of Computer and Information 30.7 pp.21-32 (2025) : 21.
Moon-Sik Kang. Flow-Based QoS Routing Optimization Using AI-Driven Traffic Prediction Scheme. 2025; 30(7), 21-32.
Moon-Sik Kang. "Flow-Based QoS Routing Optimization Using AI-Driven Traffic Prediction Scheme" Journal of The Korea Society of Computer and Information 30, no.7 (2025) : 21-32.
Moon-Sik Kang. Flow-Based QoS Routing Optimization Using AI-Driven Traffic Prediction Scheme. Journal of The Korea Society of Computer and Information, 30(7), 21-32.
Moon-Sik Kang. Flow-Based QoS Routing Optimization Using AI-Driven Traffic Prediction Scheme. Journal of The Korea Society of Computer and Information. 2025; 30(7) 21-32.
Moon-Sik Kang. Flow-Based QoS Routing Optimization Using AI-Driven Traffic Prediction Scheme. 2025; 30(7), 21-32.
Moon-Sik Kang. "Flow-Based QoS Routing Optimization Using AI-Driven Traffic Prediction Scheme" Journal of The Korea Society of Computer and Information 30, no.7 (2025) : 21-32.
