[HTML][HTML] A machine learning based distributed congestion control protocol for multi-hop wireless networks

JPA León, LJ de la Cruz Llopis, FJ Rico-Novella - Computer Networks, 2023 - Elsevier
The application areas of multi-hop wireless networks are expected to experience sustained
growth in the next years. This growth will be further supported by the current possibility of …

A novel framework for detection and prevention of denial of service attacks on autonomous vehicles using fuzzy logic

M Sadaf, Z Iqbal, Z Anwar, U Noor, M Imran… - Vehicular …, 2024 - Elsevier
Every year, millions of people lose their lives due to road accidents, and countless others
suffer from severe injuries. Moreover, these accidents cause economic losses worldwide …

[HTML][HTML] Artificial Intelligence, Internet of things and 6G methodologies in the context of Vehicular Ad-hoc Networks (VANETs): Survey

B Saoud, I Shayea, AE Yahya, ZA Shamsan… - ICT Express, 2024 - Elsevier
Recent developments in the fields of communications, smart transportation systems and
computer systems have significantly expanded the potential for intelligent solutions in the …

RPL+: An improved parent selection strategy for RPL in wireless smart grid networks

CL Duenas Santos, JP Astudillo León… - Proceedings of the 19th …, 2022 - dl.acm.org
Routing protocols play an important role in a Wireless Smart Grid Network (WSGN). The
implementation of efficient routing strategies becomes paramount to guarantee the …

GraTree: A gradient boosting decision tree based multimetric routing protocol for vehicular ad hoc networks

LL Cárdenas, JPA León, AM Mezher - Ad Hoc Networks, 2022 - Elsevier
Abstract The Intelligent Transport System (ITS) is increasingly becoming a reality thanks to
the incorporation of modern vehicles that, together with artificial intelligence techniques, can …

Ml-rpl: Machine learning-based routing protocol for wireless smart grid networks

CLD Santos, AM Mezher, JPA León, JC Barrera… - IEEE …, 2023 - ieeexplore.ieee.org
This research explores the potential of Machine Learning (ML) to enhance wireless
communication networks, specifically in the context of Wireless Smart Grid Networks …