Author

Sanho Lee

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Open access 2026

RL-ACK: A Reinforcement Learning-Based Adaptive ACK Framework for Heterogeneous Smart Kitchen IoT Networks

This paper proposes RL-ACK, a reinforcement learning–based adaptive acknowledgment framework implemented at the edge router that reduces latency, control-plane overhead, reliability violations, and utilization pressure, and maintains Tier 1 deadline-compliant delivery above 95% under high network utilization.

Jinsuk Baek, Sanho Lee, Ju Hong Park · IEEE Access · 0 citations