Edge caching and computation management for real-time internet of vehicles: An online and distributed approach

J Zhao, X Sun, Q Li, X Ma - IEEE Transactions on Intelligent …, 2020 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is expected to be an effective solution to meet the ultra-
low delay requirements of many emerging Internet of Vehicles (IoV) services by shifting the …

UAV-assisted MEC networks with aerial and ground cooperation

Y Xu, T Zhang, Y Liu, D Yang, L Xiao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the high altitude and flexible mobility, unmanned aerial vehicle (UAV) assisted mobile
edge computing (MEC) is becoming a promising technology to cope with the computation …

[HTML][HTML] A survey of energy optimization approaches for computational task offloading and resource allocation in MEC networks

J Yang, AA Shah, D Pezaros - Electronics, 2023 - mdpi.com
With the increased penetration of cloud computing and virtualization, a plethora of internet of
things devices have been deployed globally. As a result, computationally intensive tasks are …

Enhanced resource allocation in mobile edge computing using reinforcement learning based MOACO algorithm for IIOT

S Vimal, M Khari, N Dey, RG Crespo… - Computer …, 2020 - Elsevier
The Mobile networks deploy and offers a multiaspective approach for various resource
allocation paradigms and the service based options in the computing segments with its …

Secure mobile edge computing networks in the presence of multiple eavesdroppers

X Lai, L Fan, X Lei, Y Deng… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
In this paper, we investigate a secure mobile edge computing (MEC) network in the
presence of multiple eavesdroppers, where multiple users can offload parts of their tasks to …

Secure task offloading in blockchain-enabled mobile edge computing with deep reinforcement learning

A Samy, IA Elgendy, H Yu, W Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is a promising and fast-developing paradigm that provides
cloud services at the edge of the network. MEC enables IoT devices to offload and execute …

Opportunistic access point selection for mobile edge computing networks

J Xia, L Fan, N Yang, Y Deng, TQ Duong… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
In this paper, we investigate a mobile edge computing (MEC) network with two
computational access points (CAPs), where the source is equipped with multiple antennas …

Contract-based computing resource management via deep reinforcement learning in vehicular fog computing

J Zhao, M Kong, Q Li, X Sun - IEEE Access, 2019 - ieeexplore.ieee.org
Vehicle fog computing (VFC) is proposed as a solution that can significantly reduce the task
processing overload of base station during the peak time, where the vehicle as a fog node …

Mobile-aware and relay-assisted partial offloading scheme based on parked vehicles in B5G vehicular networks

J Zhao, P Dong, X Ma, X Sun, D Zou - Physical Communication, 2020 - Elsevier
Mobile edge computing (MEC) is an attractive solution for the contradiction between huge
computation resources and limited processing capacity of vehicular terminals, especially for …

A new vehicular fog computing architecture for cooperative sensing of autonomous driving

H Du, S Leng, F Wu, X Chen, S Mao - IEEE Access, 2020 - ieeexplore.ieee.org
The sensing coverage and accuracy of vehicles are vital for autonomous driving. However,
the current sensing capability of a single autonomous vehicle is quite limited in the …