3 papers
cs.NI2026
RL-ASL: A Dynamic Listening Optimization for TSCH Networks Using Reinforcement Learning
F. Fernando Jurado-Lasso, J. F. Jurado
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 co…
cs.NI2025
LEACH-RLC: Enhancing IoT Data Transmission with Optimized Clustering and Reinforcement Learning
F. Fernando Jurado-Lasso, J. F. Jurado, Xenofon Fafoutis
Wireless Sensor Networks (WSNs) play a pivotal role in enabling Internet of Things (IoT) devices with sensing and actuation capabilities. Operating in remote and resource-constrain…
cs.NI2024
HRL-TSCH: A Hierarchical Reinforcement Learning-based TSCH Scheduler for IIoT
F. Fernando Jurado-Lasso, Charalampos Orfanidis, J. F. Jurado +1
The Industrial Internet of Things (IIoT) demands adaptable Networked Embedded Systems (NES) for optimal performance. Combined with recent advances in Artificial Intelligence (AI),…