Com-DDPG: Task offloading based on multiagent reinforcement learning for information-communicatio...

EPtask: Deep reinforcement learning based energy-efficient and priority-aware task scheduling for dynamic vehicular edge computing

P Li, Z Xiao, X Wang, K Huang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The increasing complexity of vehicles has led to a growing demand for in-vehicle services
that rely on multiple sensors. In the Vehicular Edge Computing (VEC) paradigm, energy …
被引用次数：41 相关文章 所有 3 个版本

Video data offloading techniques in Mobile Edge Computing: A survey

H Ma, B Ji, H Wu, L Xing - Physical Communication, 2024 - Elsevier
Driven by the Quality of Experience (QoE) demands for video analysis applications within
contexts such as smart cities, Industrial Internet of Things (IoT), and Internet of Vehicles …
被引用次数：4 相关文章 所有 2 个版本

A Hybrid Deep Learning Framework for Hotel Rating Systems: Integrating Word2Vec, TF-IDF, and Bi-LSTM With Attention Mechanism

H Zhang, AM Kassim, NH Samsudin… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The hospitality industry faces a persistent challenge in accurately gauging customer
sentiment from online reviews, often resulting in a disparity between ratings and actual …
被引用次数：1 相关文章

Stackelberg game-based dependency-aware task offloading and resource pricing in vehicular edge networks

L Zhao, S Huang, D Meng, B Liu, Q Zuo… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is an effective paradigm in Internet of Vehicles (IoV), which
allows vehicles to offload delay-sensitive tasks to nearby road side units (RSUs) for …
被引用次数：5 相关文章

Enhancing UAV-assisted vehicle edge computing networks through a digital twin-driven task offloading framework

Z Zhang, F Zhang, M Cao, C Feng, D Chen - Wireless Networks, 2024 - Springer
Enhancing the task offload performance of UAV-assisted Vehicular Edge Computing
Networks (VECNs) is complex, especially in vehicle-to-everything (V2X) applications. These …
被引用次数：5 相关文章

MADRLOM: A Computation offloading mechanism for software-defined cloud-edge computing power network

Y Guo, X Xu, F Xiao - Computer Networks, 2024 - Elsevier
Cloud-edge computing power network often exhibits complex and heterogeneous
structures, posing several challenges to computation offloading that significantly impact …
被引用次数：4 相关文章

Intrusion detection with federated learning and conditional generative adversarial network in satellite-terrestrial integrated networks

W Jiang, H Han, Y Zhang, J Mu, A Shankar - Mobile Networks and …, 2024 - Springer
Network intrusion detection is a challenging network security research topic, especially
when data privacy has become an increasing concern in satellite-terrestrial integrated …
被引用次数：2 相关文章

Periodic Collaboration and Real-Time Dispatch Using an Actor–Critic Framework for UAV Movement in Mobile Edge Computing

H Zeng, Z Zhu, Y Wang, Z Xiang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The increasing need for communication capabilities in mobile devices has led to the
recognition of mobile edge computing (MEC) as a critical solution for addressing …
被引用次数：16 相关文章

Prioritized assignment with task dependency in collaborative mobile edge computing

Q Cai, Y Zhou, L Liu, Y Qi, J Shi - IEEE Transactions on Mobile …, 2024 - ieeexplore.ieee.org
Collaborative mobile edge computing enables resource-constrained edge facilities to work
cooperatively for computation-intensive tasks. However, as the number of tasks demanded …
被引用次数：2 相关文章 所有 5 个版本

Scenarios analysis and performance assessment of blockchain integrated in 6G scenarios

B Li, G Cheng, H Gao, X Yan, S Deng - Science China Information …, 2024 - Springer
Emerging applications such as smart city infrastructures and virtual reality landscapes are
setting rigorous benchmarks for 6G mobile networks, requiring elevated levels of …
被引用次数：2 相关文章