Fast Adaptive Task Offloading and Resource Allocation via Multiagent Reinforcement Learning in Heterogeneous Vehicular Fog Computing

Z Gao, L Yang, Y Dai - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
In vehicular fog computing, task offloading enables mobile vehicles (MVs) to offer ultralow
latency services for computation-intensive tasks. Nevertheless, the edge server (ES) may …

A context-oriented framework for computation offloading in vehicular edge computing using WAVE and 5G networks

AB de Souza, PAL Rego, T Carneiro… - Vehicular …, 2021 - Elsevier
Despite technological advances, vehicles are still unable to meet the demands of some
applications for massive computational resources in a feasible time. One way to deal with …

Mobility-aware QoS promotion and load balancing in MEC-based vehicular networks: A deep learning approach

CH Hsu, Y Chiang, Y Zhang… - 2021 IEEE 93rd Vehicular …, 2021 - ieeexplore.ieee.org
Recently, Multi-access Edge Computing (MEC) has become a promising enabler to support
emerging applications in vehicular networks by offloading compute-intensive tasks from …

[HTML][HTML] A federated deep learning empowered resource management method to optimize 5G and 6G quality of services (QoS)

H Alsulami, SH Serbaya, EH Abualsauod… - … and Mobile Computing, 2022 - hindawi.com
The quality of service (QoS) in 5G/6G communication enormously depends upon the
mobility and agility of the network architecture. An increase in the possible uses of 5G …

Energy-efficient cooperative offloading for edge computing-enabled vehicular networks

H Cho, Y Cui, J Lee - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
Edge computing technology has great potential to improve various computation-intensive
applications in vehicular networks by providing sufficient computation resources for vehicles …

Hybrid task coordination using multi-hop communication in volunteer computing-based VANETs

A Waheed, MA Shah, A Khan, C Maple, I Ullah - Sensors, 2021 - mdpi.com
Computation offloading is a process that provides computing services to vehicles with
computation sensitive jobs. Volunteer Computing-Based Vehicular Ad-hoc Networking …

Delay-aware Edge-Terminal Collaboration in Green Internet of Vehicles: A Multi-Agent Soft Actor-Critic Approach

D Wu, T Liu, Z Li, T Tang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The high performance requirement of task processing and low energy consumption
requirement of network operation result in a contradiction for the Internet of Vehicles (IoV) …

Time Efficient Offloading Optimization in Automotive Multi-access Edge Computing Networks Using Mean-Field Games

Y Kang, H Wang, BG Kim, J Xie… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Emerging connected vehicular services, such as intelligent driving and high-definition (HD)
map, are gaining increasing interest with the fast development of multi-access edge …

A real-time and ACO-based offloading algorithm in edge computing

YT Chuang, YT Hung - Journal of Parallel and Distributed Computing, 2023 - Elsevier
With the increasingly widespread use of networks and end devices, more and more data
and computations must be processed. With processing constrained by the limited resources …

Distributed information exchange with low latency for decision making in vehicular fog computing

J Liang, J Zhang, VCM Leung… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Traditional decision making in a vehicle network includes uploading vehicle sensing data to
faraway cloud platforms and then returning correlated results to the vehicles. The data have …