Proposing an AI-based model to manage and control congestion at routers on the internet
Tệp tin
Năm xuất bản
2025
Tác giả
Nhan đề tạp chí
ISSN
Nhan đề tập
Nhà xuất bản
Nguyen Tat Thanh University
Tóm tắt
The paper addresses the limitations of traditional queue management methods in handling the growing demand for multimedia communication. It introduces an enhanced model, DAIM-RED, which combines adaptive techniques and Deep Q-Networks to dynamically adjust queue thresholds, reduce packet loss, and improve efficiency in network routers. By integrating AIM-RED and deep learning, the model predicts overflow conditions and optimizes throughput. DAIM-RED outperforms previous models, ensuring better queue stability, congestion control, and Quality of Service in complex network environments.
Mô tả
17 p.
Từ khóa chủ đề
Queue management, Deep Q-Network, DAIM-RED, Congestion control, Network performance, Hiệu năng mạng
Trích dẫn
Nguyen Tat Thanh University. (2025). Journal of Science and Technology - NTTU, Volume 8, Issue 1. ISSN 2615-9015