Integration of blockchain technology and federated learning in vehicular (iot) networks: A comprehensive survey

AR Javed, MA Hassan, F Shahzad, W Ahmed, S Singh… - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) revitalizes the world with tremendous capabilities and potential
to be utilized in vehicular networks. The Smart Transport Infrastructure (STI) era depends …

A comprehensive survey on SDN and blockchain-based secure vehicular networks

IM Varma, N Kumar - Vehicular Communications, 2023 - Elsevier
Abstract Internet of Vehicles (IoV), as an emerging technology, has gained much attention in
recent years due to rapid advancements in computing paradigms, vehicular and wireless …

Green Internet of Vehicles (IoV) in the 6G era: Toward sustainable vehicular communications and networking

J Wang, K Zhu, E Hossain - IEEE Transactions on Green …, 2021 - ieeexplore.ieee.org
As one of the most promising applications in future Internet of Things, Internet of Vehicles
(IoV) has been acknowledged as a fundamental technology for developing the Intelligent …

Federated learning empowered computation offloading and resource management in 6G-V2X

SB Prathiba, G Raja, S Anbalagan… - … on Network Science …, 2021 - ieeexplore.ieee.org
Humankind's urbanization and luxuriousneed increase the number of vehicles day by day.
Alongside the advancement of technologies, autonomous vehicles have now come into a …

A hybrid deep reinforcement learning for autonomous vehicles smart-platooning

SB Prathiba, G Raja, K Dev, N Kumar… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The development of Autonomous Vehicles (AVs) envisions the promising technology of
future Intelligent Transportation Systems (ITS). However, the complex road structures and …

Multimodal Emotion Recognition with deep learning: advancements, challenges, and future directions

AV Geetha, T Mala, D Priyanka, E Uma - Information Fusion, 2024 - Elsevier
In recent years, affective computing has become a topic of considerable interest, driven by
its ability to enhance several domains, such as mental health monitoring, human–computer …

Lidar point cloud compression, processing and learning for autonomous driving

R Abbasi, AK Bashir, HJ Alyamani… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
As technology advances, cities are getting smarter. Smart mobility is the key element in
smart cities and Autonomous Driving (AV) are an essential part of smart mobility. However …

Efficient and secured swarm pattern multi-UAV communication

G Raja, S Anbalagan… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Unmanned Aerial Vehicle (UAV) or drone, is an evolving technology in today's market with
an enormous number of applications. Mini UAVs are developed in order to compensate the …

Security in IoT-enabled digital twins of maritime transportation systems

J Liu, C Li, J Bai, Y Luo, H Lv… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The purposes are to explore the safety performance of the Maritime Transportation System
(MTS) based on Digital Twins (DTs) Internet of Things (IoT) and develop maritime …

Machine-learning-based efficient and secure RSU placement mechanism for software-defined-IoV

S Anbalagan, AK Bashir, G Raja… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The massive increase in computing and network capabilities has resulted in a paradigm shift
from vehicular networks to the Internet of Vehicles (IoV). Owing to the dynamic and …