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 …

Computation offloading and resource allocation in NOMA–MEC: A deep reinforcement learning approach

C Shang, Y Sun, H Luo… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Multiaccess edge computing has emerged as a powerful paradigm for increasing the
computation performance of mobile devices (MDs). Applying nonorthogonal multiple access …

A collaborative computation and offloading for compute-intensive and latency-sensitive dependency-aware tasks in dew-enabled vehicular fog computing: A federated …

K Mishra, GNV Rajareddy, U Ghugar… - … on Network and …, 2023 - ieeexplore.ieee.org
The demand for vehicular networks is prolifically emerging as it supports advancing in
capabilities and qualities of vehicle services. However, this vehicular network cannot solely …

Deep-reinforcement-learning-based distributed computation offloading in vehicular edge computing networks

L Geng, H Zhao, J Wang, A Kaushik… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Vehicular edge computing has emerged as a promising paradigm by offloading computation-
intensive latency-sensitive tasks to mobile-edge computing (MEC) servers. However, it is …

Hierarchical task offloading for vehicular fog computing based on multi-agent deep reinforcement learning

Y Hou, Z Wei, R Zhang, X Cheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular fog computing (VFC) has been expected as a promising architecture that can
make full use of computing resources of idle vehicles to increase computing capability …

Multi-agent DRL-based task offloading in multiple RIS-aided IoV networks

B Hazarika, K Singh, S Biswas… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article considers an internet of vehicles (IoV) network, where multi-access edge
computing (MAEC) servers are deployed at base stations (BSs) aided by multiple …

An Auction‐Based Bid Prediction Mechanism for Fog‐Cloud Offloading Using Q‐Learning

R Besharati, MH Rezvani, MM Gilanian Sadeghi - Complexity, 2023 - Wiley Online Library
In the fog computing paradigm, if the computing resources of an end device are insufficient,
the user's tasks can be offloaded to nearby devices or the central cloud. In addition, due to …

Throughput-aware dynamic task offloading under resource constant for MEC with energy harvesting devices

J Mei, L Dai, Z Tong, X Deng, K Li - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the explosive increase of Internet of Things (IoT) devices, an increasing number of
computation-intensive applications are emerging in IoT system. However, most IoT devices …

Large-scale Cooperative Task Offloading and Resource Allocation in Heterogeneous MEC Systems via Multi-Agent Reinforcement Learning

Z Gao, L Yang, Y Dai - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
In multiaccess edge computing (MEC) systems, existing task offloading methods have
provided ultrashort latency services for heterogeneous tasks on mobile devices (MDs) …

A proactive stable scheme for vehicular collaborative edge computing

J Liu, N Liu, L Liu, S Li, H Zhu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Due to the restricted computing resources and high upgrading costs, onboard processors
alone cannot meet the quality of service (QoS) requirements of the emerging and constantly …