RL-ASL Paper Accepted in IEEE Transactions on Mobile Computing!
We are happy to announce that our paper, ‘RL-ASL: A Reinforcement Learning Framework for Adaptive Listening in TSCH Networks,’ has been accepted for publication in the prestigious IEEE Transactions on Mobile Computing. This paper presents a novel approach to optimizing adaptive listening in Time Slotted Channel Hopping (TSCH) networks, significantly enhancing energy efficiency while maintaining synchronization and delivery reliability.