URLLC-aware and energy-efficient data offloading strategy in high-mobility vehicular mobile edge computing environments
H Min, J Tanveer, AM Rahmani, A Alqahtani… - Vehicular …, 2024 - Elsevier
The integration of Internet of Things (IoT) technologies into the vehicular industry has
initiated a new era of connected and autonomous vehicles, revolutionizing transportation …
initiated a new era of connected and autonomous vehicles, revolutionizing transportation …
Offloading in V2X with road side units: Deep reinforcement learning
Traffic offloading is crucial for reducing computing latency in distributed edge systems such
as vehicle-to-everything (V2X) networks, which use roadside units (RSUs) and access …
as vehicle-to-everything (V2X) networks, which use roadside units (RSUs) and access …
Delay-Effective Task Offloading Technology in Internet of Vehicles: From the Perspective of the Vehicle Platooning
Task offloading technology plays a crucial role in the Internet of Vehicles (IoV) by minimizing
processing delays through the joint optimization of heterogeneous computing resources …
processing delays through the joint optimization of heterogeneous computing resources …
Energy Efficiency Optimisation of Joint Computational Task Offloading and Resource Allocation Using Particle Swarm Optimisation Approach in Vehicular Edge …
With the progression of smart vehicles, ie, connected autonomous vehicles (CAVs), and
wireless technologies, there has been an increased need for substantial computational …
wireless technologies, there has been an increased need for substantial computational …
[HTML][HTML] Intelligent End-Edge Computation Offloading Based on Lyapunov-Guided Deep Reinforcement Learning
X Feng, C Xu, X Jin, C Xia, J Jiang - Applied Sciences, 2024 - mdpi.com
To address the end-edge computation offloading challenge in the multi-terminal and multi-
server environment, this paper proposes an intelligent computation offloading algorithm …
server environment, this paper proposes an intelligent computation offloading algorithm …
Improving Resiliency of Cyber-Dependent Power Distribution Network Using UAVs
GNVMS Member, CN BhendeMember… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Resiliency enhancement of the power distribution network (PDN) through restoration is
paramount in the face of escalating natural disasters. State-of-the-art literature has centered …
paramount in the face of escalating natural disasters. State-of-the-art literature has centered …
DRL-based resource optimization in 5G low carbon Power Internet of Things
M Guo, Z Liu, D Ma, W Jing, W Gao, D Li… - … Journal of Low …, 2024 - academic.oup.com
Abstract With 5G-powered Power Internet of Things growing rapidly, power terminal devices
struggle with energy limitations in processing computation-intensive tasks, increasing …
struggle with energy limitations in processing computation-intensive tasks, increasing …
Optimization and research on resource allocation strategy of vehicle edge computing based on deep learning
G Zhang, J Dang, X Zhang… - … Conference on Cloud …, 2024 - spiedigitallibrary.org
In vehicular edge computing environments, where resources are limited and task latency
sensitivity is high, we propose a resource allocation method based on deep reinforcement …
sensitivity is high, we propose a resource allocation method based on deep reinforcement …