ENTITY Fabian Fernando Jurado Lasso

Fabian Fernando Jurado Lasso

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RESEARCH · CL_06931 · Apr 28 · 04:00

Reinforcement learning optimizes TSCH networks for lower power and latency

Researchers have developed RL-ASL, a reinforcement learning framework designed to optimize listening slots in Time Slotted Channel Hopping (TSCH) networks. This adaptive approach dynamically decides whether to activate …

Reinforcement learning optimizes TSCH networks for lower power and latency