Resource scheduling in edge computing: A survey

Q Luo, S Hu, C Li, G Li, W Shi - IEEE Communications Surveys …, 2021 - ieeexplore.ieee.org
With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …

UAV-assisted task offloading in vehicular edge computing networks

X Dai, Z Xiao, H Jiang, JCS Lui - IEEE Transactions on Mobile …, 2023 - ieeexplore.ieee.org
Vehicular edge computing (VEC) provides an effective task offloading paradigm by pushing
cloud resources to the vehicular network edges, eg, road side units (RSUs). However …

Joint secure offloading and resource allocation for vehicular edge computing network: A multi-agent deep reinforcement learning approach

Y Ju, Y Chen, Z Cao, L Liu, Q Pei… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The mobile edge computing (MEC) technology can simultaneously provide high-speed
computing services for multiple vehicular users (VUs) in vehicular edge computing (VEC) …

A learning-based approach for vehicle-to-vehicle computation offloading

X Dai, Z Xiao, H Jiang, H Chen, G Min… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Vehicle-to-vehicle (V2V) computation offloading has emerged as a promising solution to
facilitate computing-intensive vehicular task processing, where task vehicles (ie, TaVs) will …

Multi-agent DRL-based Hungarian algorithm (MADRLHA) for task offloading in multi-access edge computing Internet of Vehicles (IoVs)

MZ Alam, A Jamalipour - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
This paper investigates the computation offloading problem in a high mobility internet of
vehicles (IoVs) environment, aiming to guarantee latency, energy consumption, and …

Self-* capabilities of cloud-edge nodes: A research review

R S-Julián, I Lacalle, R Vaño, F Boronat, CE Palau - Sensors, 2023 - mdpi.com
Most recent edge and fog computing architectures aim at pushing cloud-native traits at the
edge of the network, reducing latency, power consumption, and network overhead, allowing …

Deep reinforcement learning based computation offloading and trajectory planning for multi-UAV cooperative target search

Q Luo, TH Luan, W Shi, P Fan - IEEE Journal on Selected …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are widely used for surveillance and monitoring to
complete target search tasks. However, the short battery life and moderate computational …

Edge computation offloading with content caching in 6G-enabled IoV

X Zhou, M Bilal, R Dou, JJPC Rodrigues… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Using the powerful communication capability of 6G, various in-vehicle services in the
Internet of Vehicles (IoV) can be offered with low delay, which provide users with a high …

Blockchain-based cooperative computation offloading and secure handover in vehicular edge computing networks

P Lang, D Tian, X Duan, J Zhou… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Facing the requirements of intelligent vehicles for massive data processing, vehicular edge
computing (VEC) utilizes computing resources deployed on the roadside infrastructure to …

Computation offloading for energy and delay trade-offs with traffic flow prediction in edge computing-enabled iov

X Xu, C Yang, M Bilal, W Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
An unprecedented prosperity in artificial intelligence promotes the development of Internet of
Vehicles (IoV). Assisted by edge computing, vehicles enable to offload data to edge servers …