Toward QoS monitoring in IoT edge devices driven healthcare—a systematic literature review

MI Younas, MJ Iqbal, A Aziz, AH Sodhro - Sensors, 2023 - mdpi.com
Smart healthcare is altering the delivery of healthcare by combining the benefits of IoT,
mobile, and cloud computing. Cloud computing has tremendously helped the health industry …

6G enabled advanced transportation systems

R Liu, M Hua, K Guan, X Wang, L Zhang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
With the emergence of communication services with stringent requirements such as
autonomous driving or on-flight Internet, the sixth-generation (6G) wireless network is …

MCLA task offloading framework for 5G-NR-V2X-based heterogeneous VECNs

MA Mirza, Y Junsheng, S Raza… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Ensuring dependable quality of service (QoS) and quality of experience (QoE) for
computation-intensive and delay-sensitive applications in vehicles can be a challenging …

Efficient anonymous batch authentication scheme with conditional privacy in the Internet of Vehicles (IoV) applications

C Maurya, VK Chaurasiya - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) has emerged as a robust solution to improve real-time road
traffic conditions, safety, and driving comfort. However, the road's dynamic environment and …

A multimodal coupled graph attention network for joint traffic event detection and sentiment classification

Y Zhang, P Tiwari, Q Zheng, A El Saddik… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Traffic events are one of the main causes of traffic accidents, leading to traffic event detection
being a challenging research problem in traffic management and intelligent transportation …

An energy management strategy based on DDPG with improved exploration for battery/supercapacitor hybrid electric vehicle

J Zhang, J Tao, Y Hu, L Ma - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Given that transportation contributes to 23% of global energy-related greenhouse gas
emissions, the electrification of the transport sector is an inevitable trend. This paper …

Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey

M Xu, D Niyato, J Kang, Z Xiong, A Jamalipour… - arXiv preprint arXiv …, 2024 - arxiv.org
Generative AI (GAI) can enhance the cognitive, reasoning, and planning capabilities of
intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets …

Optimized Wireless Sensing and Deep Learning for Enhanced Human-Vehicle Recognition

L Lou, M Song, X Chen, X Zhao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In the realm of traffic parameter measurement, wireless sensing-based human-vehicle
recognition methods have been pivotal due to their low cost and non-invasive nature …

Blockchain-based route selection with allocation of radio and computing resources for connected autonomous vehicles

M Vološin, E Šlapak, Z Becvar… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
With the advent of connected and autonomous vehicles (CAVs), we observe a growing need
for new resource allocation solutions in mobile networks. Currently, most of the resource …

RLID-V: Reinforcement Learning-Based Information Dissemination Policy Generation in VANETs

Y Xia, X Liu, J Ou, O Ma - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Ciphertext policy attribute-based encryption (CP-ABE) is popularly used to implement
secure and accurate access control of disseminated information in vehicular ad hoc …