[HTML][HTML] FlexiChain 3.0: distributed ledger technology-based intelligent transportation for vehicular digital asset exchange in smart cities

A Alkhodair, SP Mohanty, E Kougianos - Sensors, 2023 - mdpi.com
Due to the enormous amounts of data being generated between users, Intelligent
Transportation Systems (ITS) are complex Cyber-Physical Systems that necessitate a …

A novel deep policy gradient action quantization for trusted collaborative computation in intelligent vehicle networks

M Chen, M Yi, M Huang, G Huang, Y Ren… - Expert Systems with …, 2023 - Elsevier
The openness of the intelligent vehicle network makes it easy for selfish or untrustworthy
vehicles to maliciously occupy limited resources in the mobile edge network or spread …

Task offloading strategy based on reinforcement learning computing in edge computing architecture of internet of vehicles

K Wang, X Wang, X Liu, A Jolfaei - IEEE Access, 2020 - ieeexplore.ieee.org
With the rapid increase of vehicles, the explosive growth of data flow and the increasing
shortage of spectrum resources, the performance of existing task offloading scheme is poor …

When machine learning meets Network Management and Orchestration in Edge-based networking paradigms

A Shahraki, T Ohlenforst, F Kreyß - Journal of Network and Computer …, 2023 - Elsevier
Caused by the rising of new network types, eg, Internet of Things (IoT), within the last
decade and related challenges like Big Data and data processing delay, new paradigms …

[HTML][HTML] Task offloading using GPU-based particle swarm optimization for high-performance vehicular edge computing

MA Alqarni, MH Mousa, MK Hussein - Journal of King Saud University …, 2022 - Elsevier
With mobile edge computing, vehicles can obtain nearby network resources and
computability and meet the growing demand for vehicular service at large scales. However …

Efficient caching in vehicular edge computing based on edge-cloud collaboration

F Zeng, K Zhang, L Wu, J Wu - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
In vehicular edge computing (VEC), the execution of offloading task needs not only the task
data uploaded by the requesting vehicle, but also the additional data to support the task to …

A UAV-aided vehicular integrated platooning network for heterogeneous resource management

J Zhao, Y Nie, H Zhang, FR Yu - IEEE Transactions on Green …, 2023 - ieeexplore.ieee.org
Platooning unmanned ground vehicles (UGVs) are envisioned as a green and effective
paradigm to enhance transportation performance. However, limited computing …

DRLE: Decentralized reinforcement learning at the edge for traffic light control in the IoV

P Zhou, X Chen, Z Liu, T Braud, P Hui… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) enables real-time data exchange among vehicles and
roadside units and thus provides a promising solution to alleviate traffic jams in the urban …

Decentralized computation offloading in IoT fog computing system with energy harvesting: A dec-POMDP approach

Q Tang, R Xie, FR Yu, T Huang… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Recently, fog computing has emerged as a prospective technique to provide pervasive and
agile computation services for Internet-of-Things (IoT) devices and support advanced …

PSAC: Proactive sequence-aware content caching via deep learning at the network edge

Y Zhang, Y Li, R Wang, J Lu, X Ma… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Compared with traditional ineffective methods, such as acquiring more spectrum and
deploying more base stations, edge caching is a highly promising solution for increased …