Elise: A reinforcement learning framework to optimize the slotframe size of the tsch protocol in iot networks

FF Jurado-Lasso, M Barzegaran, JF Jurado… - IEEE Systems …, 2024 - ieeexplore.ieee.org
The Internet of Things is shaping the next generation of cyber–physical systems to improve
the future industry for smart cities. It has created novel and essential applications that require …

HRL-TSCH: A Hierarchical Reinforcement Learning-based TSCH Scheduler for IIoT

FF Jurado-Lasso, C Orfanidis, JF Jurado… - arXiv preprint arXiv …, 2024 - arxiv.org
The Industrial Internet of Things (IIoT) demands adaptable Networked Embedded Systems
(NES) for optimal performance. Combined with recent advances in Artificial Intelligence (AI) …

Q-Learning and Efficient Low-Quantity Charge Method for Nodes to Extend the Lifetime of Wireless Sensor Networks

K Xu, Z Li, A Cui, S Geng, D Xiao, X Wang, P Wan - Electronics, 2023 - mdpi.com
With the rapid development of the Internet of Things (IoT), improving the lifetime of nodes
and networks has become increasingly important. Most existing medium access control …

Enhancing QoS in Wireless Sensor Networks Using Dynamic Energy-Efficient Multimode Transmission with the Network Adaptive Multimode Transmission LEACH …

K Rani, M KN - International Journal of Computing and Digital …, 2024 - journals.uob.edu.bh
Wireless sensor networks (WSNs) are crucial in supporting automated and real-time
monitoring essential for Internet of Things (IoT) and Machine-to-Machine (M2M) …

ELISE: A Reinforcement Learning Framework to Optimize the Sloftframe Size of the TSCH Protocol in IoT Networks

FFJ Lasso, M Barzegaran, JF Jurado, X Fafoutis - Authorea Preprints, 2023 - techrxiv.org
The Industrial Internet of Things (IIoT) is shaping the next generation of cyber-physical
systems to improve the future industry for smart cities. It has created novel and essential …