Author

Le Huu Binh

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Open access Aug 2026

FRLTC: A new topology control algorithm using federated reinforcement learning for software-defined wireless sensor network in IoT

Topology is one of the most important factors influencing the performance of software-defined wireless sensor networks (SDWSN) in the Internet of Things (IoT). This paper presents a novel topology control algorithm using federated reinforcement learning, proposed for SDWSN in the IoT. Our approach represents the SDWSN...

Le Huu Binh, Thuy-Van T. Duong, Duc Huy Le · PLoS ONE · 0 citations

Open access 2026

HybridRL-RNP: A Hybrid Reinforcement Learning Framework for Optimizing Router Nodes Placement in Wireless Mesh Networks Toward 6G

Results highlight the effectiveness and practicality of the proposed HybridRL-RNP framework as an intelligent topology control solution for Wireless Mesh Networks towards 6G, where the synergy between AI-driven optimization and heuristic knowledge plays a pivotal role in achieving globally optimal network connectivity.

Le Huu Binh, Thuy-Van T Duong, Le Duc Huy · IEEE Access · 0 citations