A3C-based load-balancing solution for computation offloading in SDN-enabled vehicular edge computing networks
L Lu, J Yu, H Du, X Li - Peer-to-Peer Networking and Applications, 2023 - Springer
In the Internet of vehicles (IoV), various applications emerging to provide users with safe,
reliable, and comfortable driving services have caused explosive demand for computing …
reliable, and comfortable driving services have caused explosive demand for computing …
Reinforcement Learning-Based Resource Allocation in Fog Networks
H Tran-Dang, DS Kim - … and Distributed Intelligent Computation in Fog …, 2023 - Springer
In IoT-based systems, fog computing allows the fog nodes to offload and process tasks
requested from IoT-enabled devices in a distributed manner instead of the centralized cloud …
requested from IoT-enabled devices in a distributed manner instead of the centralized cloud …
An RSU-crossed dependent task offloading scheme for vehicular edge computing based on deep reinforcement learning
X Bi, J Shi, B Zhang, Z Lyu… - International Journal of …, 2023 - inderscienceonline.com
Various interdependent and computationally intensive on-vehicle tasks have posed great
pressure on the computing power of vehicles. Vehicular edge computing (VEC) is …
pressure on the computing power of vehicles. Vehicular edge computing (VEC) is …
Missile thermal emission flow field under the synergistic effect of deep reinforcement learning and wireless sensor network
Q Zhou, X Xiong, L Zhu, G Wang - Wireless Networks, 2023 - Springer
The vehicle-mounted missile vertical thermal emission not only has excellent
maneuverability, randomness, and concealment, but also has a short response time, good …
maneuverability, randomness, and concealment, but also has a short response time, good …
深度强化学习与移动通信资源管理: 算法, 进展与展望
孙恩昌， 袁永仪， 吴兵， 屈晗星， 张延华 - 北京工业大学学报, 2023 - journal.bjut.edu.cn
深度强化学习(deep reinforcement learning, DRL) 将深度学习从高维数据提取低维特征的能力
与强化学习的决策能力相结合, 是移动通信资源管理与优化的高效算法之一. 在引入DRL …
与强化学习的决策能力相结合, 是移动通信资源管理与优化的高效算法之一. 在引入DRL …
FMICA: Future Mobility and Imminent Computation-Aware Task Offloading in Vehicular Fog Environment
Vehicular fog computing (VFC) is a technology that enhances vehicular applications by
offloading the task of the resource-restricted vehicle to the resourceful fog node (vehicle or …
offloading the task of the resource-restricted vehicle to the resourceful fog node (vehicle or …
Remedy or Resource Drain: Modeling and Analysis of Massive Task Offloading Processes in Fog
Task offloading, which refers to processing (computation-intensive) data at facilitating
servers, is an exemplary service that greatly benefits from the fog computing paradigm …
servers, is an exemplary service that greatly benefits from the fog computing paradigm …
A Deep Reinforcement Learning Approach for Dependency-Aware Task Offloading in Cooperative Vehicular Networks
Y Fan, X Cai, W Yue, J Zheng… - 2023 IEEE 34th Annual …, 2023 - ieeexplore.ieee.org
To investigate the diversified applications in vehicular networks, artificial intelligence,
intelligent edge computing, and vehicular networks are combined. By offloading …
intelligent edge computing, and vehicular networks are combined. By offloading …
Serial or Parallel: Reverse Offloading based MEC-assisted Joint Computing
Mobile Edge Computing (MEC), as a promising key technology, provides tremendous
support for latency-sensitive applications in Internet of Vehicles (IoV). In this paper, we focus …
support for latency-sensitive applications in Internet of Vehicles (IoV). In this paper, we focus …
[PDF][PDF] Dynamics-Based Location Prediction and Neural Network Fine-Tuning for Task Offloading in Vehicular Networks.
Y Wu, L Wang, C Kai, M Peng - KSII Transactions on Internet & Information …, 2023 - itiis.org
Task offloading in vehicular networks is hot topic in the development of autonomous driving.
In these scenarios, due to the role of vehicles and pedestrians, task characteristics are …
In these scenarios, due to the role of vehicles and pedestrians, task characteristics are …