RL-ASL uses reinforcement learning to adaptively skip listening slots in TSCH networks, delivering up to 46% lower power consumption and 96% lower latency with near-perfect reliability.
Traffic-Aware Reliable Scheduling in TSCH Networks for Industry 4.0: A Systematic Mapping Review
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RL-ASL: A Dynamic Listening Optimization for TSCH Networks Using Reinforcement Learning
RL-ASL uses reinforcement learning to adaptively skip listening slots in TSCH networks, delivering up to 46% lower power consumption and 96% lower latency with near-perfect reliability.