Edge computing in industrial internet of things: Architecture, advances and challenges

T Qiu, J Chi, X Zhou, Z Ning… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) is a crucial research field spawned by the Internet of
Things (IoT). IIoT links all types of industrial equipment through the network; establishes data …

Mobile edge intelligence and computing for the internet of vehicles

J Zhang, KB Letaief - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) is an emerging paradigm that is driven by recent
advancements in vehicular communications and networking. Meanwhile, the capability and …

Mobility-aware multi-hop task offloading for autonomous driving in vehicular edge computing and networks

L Liu, M Zhao, M Yu, MA Jan, D Lan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) has gained increasing interest due to its potential to
provide low latency and reduce the load in backhaul networks. In order to meet drastically …

Blockchain empowered asynchronous federated learning for secure data sharing in internet of vehicles

Y Lu, X Huang, K Zhang, S Maharjan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In Internet of Vehicles (IoV), data sharing among vehicles for collaborative analysis can
improve the driving experience and service quality. However, the bandwidth, security and …

Blockchain for Internet of Things: A survey

HN Dai, Z Zheng, Y Zhang - IEEE internet of things journal, 2019 - ieeexplore.ieee.org
Internet of Things (IoT) is reshaping the incumbent industry to smart industry featured with
data-driven decision-making. However, intrinsic features of IoT result in a number of …

Artificial intelligence for edge service optimization in internet of vehicles: A survey

X Xu, H Li, W Xu, Z Liu, L Yao… - Tsinghua Science and …, 2021 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) plays a crucial role in providing diversified services because of
its powerful capability of collecting real-time information. Generally, collected information is …

Asynchronous deep reinforcement learning for collaborative task computing and on-demand resource allocation in vehicular edge computing

L Liu, J Feng, X Mu, Q Pei, D Lan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is enjoying a surge in research interest due to the
remarkable potential to reduce response delay and alleviate bandwidth pressure. Facing the …

Computation offloading and resource allocation for cloud assisted mobile edge computing in vehicular networks

J Zhao, Q Li, Y Gong, K Zhang - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Computation offloading services provide required computing resources for vehicles with
computation-intensive tasks. Past computation offloading research mainly focused on …

Vehicular edge computing and networking: A survey

L Liu, C Chen, Q Pei, S Maharjan, Y Zhang - Mobile networks and …, 2021 - Springer
As one key enabler of Intelligent Transportation System (ITS), Vehicular Ad Hoc Network
(VANET) has received remarkable interest from academia and industry. The emerging …

Deep reinforcement learning for offloading and resource allocation in vehicle edge computing and networks

Y Liu, H Yu, S Xie, Y Zhang - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is a promising technology to extend the diverse services to
the edge of Internet of Things (IoT) system. However, the static edge server deployment may …