Energy-Aware MPTCP Scheduling in Heterogeneous Wireless Networks Using Multi-Agent Deep Reinforcement Learning Techniques

Energy-Aware MPTCP Scheduling in Heterogeneous Wireless Networks Using Multi-Agent Deep Reinforcement Learning Techniques

This paper proposes an energy-efficient scheduling scheme for multi-path TCP (MPTCP) in heterogeneous wireless networks, aiming to minimize energy consumption while ensuring low latency and high throughput. Each MPTCP sub-flow is controlled by an agent that cooperates with other agents using the Mul...

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Bibliographic Details
Main Authors: Zulfiqar Ali Arain, Xuesong Qiu, Changqiao Xu, Mu Wang, Mussadiq Abdul Rahim
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Electronics
Subjects:
multi-path TCP
energy efficiency
multi-agent
computer networks
Online Access:https://www.mdpi.com/2079-9292/12/21/4496

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https://www.mdpi.com/2079-9292/12/21/4496

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