Fabian Fernando Jurado Lasso

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
RL-ASL: A Dynamic Listening Optimization for TSCH Networks Using Reinforcement Learning.
CoRR, April, 2026

2025
LEACH-RLC: Enhancing IoT Data Transmission With Optimized Clustering and Reinforcement Learning.
IEEE Internet Things J., July, 2025

Adaptive Mobility Control in LoRaWAN via Reinforcement Learning.
Proceedings of the 21th International Conference on Wireless and Mobile Computing, 2025

2024
HRL-TSCH: A Hierarchical Reinforcement Learning-Based TSCH Scheduler for IIoT.
IEEE Trans. Cogn. Commun. Netw., December, 2024

ELISE: A Reinforcement Learning Framework to Optimize the Slotframe Size of the TSCH Protocol in IoT Networks.
IEEE Syst. J., June, 2024

A Centralized Reinforcement Learning Framework for Adaptive Clustering with Low Control Overhead in IoT Networks.
CoRR, 2024

2022
A Survey on Machine Learning Software-Defined Wireless Sensor Networks (ML-SDWSNs): Current Status and Major Challenges.
IEEE Access, 2022

2020
A software-defined networking framework for IoT.
PhD thesis, 2020

Performance Analysis of Software-Defined Multihop Wireless Sensor Networks.
IEEE Syst. J., 2020

A Software-Defined Management System for IP-Enabled WSNs.
IEEE Syst. J., 2020

2018
A software-defined networking framework for IoT based on 6LoWPAN.
Proceedings of the 2018 Wireless Telecommunications Symposium, 2018


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