AI RESEARCH
RL-ASL: A Dynamic Listening Optimization for TSCH Networks Using Reinforcement Learning
arXiv CS.LG
•
ArXi:2604.07533v2 Announce Type: replace-cross Time Slotted Channel Hopping (TSCH) is a widely adopted Media Access Control (MAC) protocol within the IEEE 802.15.4e standard, designed to provide reliable and energy-efficient communication in Industrial Internet of Things (IIoT) networks. However, state-of-the-art TSCH schedulers rely on static slot allocations, resulting in idle listening and unnecessary power consumption under dynamic traffic conditions. This paper