A memetic algorithm for cooperative complex task offloading in heterogeneous vehicular networks

H Ren, K Liu, G Yan, Y Li, C Zhan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the booming of intelligent connected vehicles as well as the emergence of edge
computing paradigm, complex task offloading becomes a critical yet promising issue in …

Federated deep reinforcement learning-based online task offloading and resource allocation in harsh mobile edge computing environment

H Xiang, M Zhang, C Jian - Cluster Computing, 2024 - Springer
In the harsh mobile edge computing (HMEC) environment, there are many dynamic changes
such as interference from noise, the impact of extreme environmental conditions, and the …

MPTO-MT: A multi-period vehicular task offloading method in 5G HetNets

R Zhang, L Wu, S Cao, NN Xiong, J Li, D Wu… - Journal of Systems …, 2022 - Elsevier
Task offloading is one of the important research directions in Internet of Vehicles. Mobile
edge computing and 5G heterogeneous network frameworks bring new opportunities for …

MCLA task offloading framework for 5G-NR-V2X-based heterogeneous VECNs

MA Mirza, Y Junsheng, S Raza… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Ensuring dependable quality of service (QoS) and quality of experience (QoE) for
computation-intensive and delay-sensitive applications in vehicles can be a challenging …

Dynamic Offloading Method for Mobile Edge Computing of Internet of Vehicles Based on Multi-Vehicle Users and Multi-MEC Servers

X Dang, L Su, Z Hao, X Shang - Electronics, 2022 - mdpi.com
With the continuous development of intelligent transportation system technology, vehicle
users have higher and higher requirements for low latency and high service quality of task …

Energy–latency tradeoffs edge server selection and DQN-based resource allocation schemes in MEC

C Li, Z Ke, Q Liu, C Hu, C Lu, Y Luo - Wireless Networks, 2023 - Springer
This paper discusses the challenges of mobile edge computing with low latency and energy
consumption caused by the explosive growth of communication traffic and data generated …

A survey on task partitioning and scheduling for vehicular edge computing

J Huang, W Wu, W Huang, Y Xiao… - 2023 IEEE 10th …, 2023 - ieeexplore.ieee.org
Vehicle edge computing (VEC) has become an important research field in recent years. In
VEC, computation offloading moves computationally intensive tasks from resource …

Resource Optimization for Task Offloading With Real-Time Location Prediction in Pedestrian-Vehicle Interaction Scenarios

D Zheng, L Wang, C Kai, M Peng - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the development of autonomous driving, task offloading of Internet of vehicles has
become a hot research issue. In pedestrian-vehicle interaction scenarios, characteristics of …

Optimizing Task Offloading and Resource Allocation in Vehicular Edge Computing Based on Heterogeneous Cellular Networks

X Fan, W Gu, C Long, C Gu, S He - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
5G is a promising technology for improving the Quality of Service (QoS) in Internet of
Vehicles (IoV) applications, including Vehicular Edge Computing (VEC). However, 5G …

Mobility and dependency-aware task offloading for intelligent assisted driving in vehicular edge computing networks

Y Li, C Yang, X Chen, Y Liu - Vehicular Communications, 2024 - Elsevier
Intelligent assisted driving is an important application in vehicular edge computing networks
(VECNs). In the intelligent transportation system (ITS), a group of moving vehicle users need …