Federated learning for internet of things: A comprehensive survey

DC Nguyen, M Ding, PN Pathirana… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …

Level-5 autonomous driving—are we there yet? a review of research literature

MA Khan, HE Sayed, S Malik, T Zia, J Khan… - ACM Computing …, 2022 - dl.acm.org
Autonomous vehicles are revolutionizing transport and next-generation autonomous
mobility. Such vehicles are promising to increase road safety, improve traffic efficiency …

Perception task offloading with collaborative computation for autonomous driving

Z Xiao, J Shu, H Jiang, G Min… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
Autonomous driving has so far received numerous attention from academia and industry.
However, the inevitable occlusion is a great menace to safety and reliable driving. Existing …

RL/DRL meets vehicular task offloading using edge and vehicular cloudlet: A survey

J Liu, M Ahmed, MA Mirza, WU Khan… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The last two decades have seen a clear trend toward crafting intelligent vehicles based on
the significant advances in communication and computing paradigms, which provide a safer …

Deep reinforcement learning-based energy-efficient edge computing for internet of vehicles

X Kong, G Duan, M Hou, G Shen… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Mobile network operators (MNOs) allocate computing and caching resources for mobile
users by deploying a central control system. Existing studies mainly use programming and …

Vehicular edge computing: Architecture, resource management, security, and challenges

R Meneguette, R De Grande, J Ueyama… - ACM Computing …, 2021 - dl.acm.org
Vehicular Edge Computing (VEC), based on the Edge Computing motivation and
fundamentals, is a promising technology supporting Intelligent Transport Systems services …

Hierarchical aerial computing for Internet of Things via cooperation of HAPs and UAVs

Z Jia, Q Wu, C Dong, C Yuen… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
With the explosive increment of computation requirements, the multiaccess edge computing
(MEC) paradigm appears as an effective mechanism. Besides, as for the Internet of Things …

Edge intelligence for autonomous driving in 6G wireless system: Design challenges and solutions

B Yang, X Cao, K Xiong, C Yuen… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
In a level-5 autonomous driving system, the autonomous driving vehicles (AVs) are
expected to sense the surroundings via analyzing a large amount of data captured by a …

Offloading optimization in edge computing for deep-learning-enabled target tracking by internet of UAVs

B Yang, X Cao, C Yuen, L Qian - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
The empowering unmanned aerial vehicles (UAVs) have been extensively used in providing
intelligence such as target tracking. In our field experiments, a pretrained convolutional …

Joint task offloading and resource allocation for vehicular edge computing based on V2I and V2V modes

W Fan, Y Su, J Liu, S Li, W Huang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In an internet of vehicle (IoV) scenario, vehicular edge computing (VEC) exploits the
computing capabilities of the vehicles and roadside unit (RSU) to enhance the task …