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URLLC-awared resource allocation for heterogeneous vehicular edge computing
Vehicular edge computing (VEC) is a promising technology to support real-time vehicular
applications, where vehicles offload intensive computation tasks to the nearby VEC server …
applications, where vehicles offload intensive computation tasks to the nearby VEC server …
Service based VEINS framework for vehicular Ad-hoc network (VANET): A systematic review of state-of-the-art
The state-of-the-art framework for VANETs, Vehicles in Network Simulation (VEINS), is
primarily sparse and fragmented. The combination of VANETs and VEINS can improve road …
primarily sparse and fragmented. The combination of VANETs and VEINS can improve road …
Data dissemination in VANETs using particle swarm optimization
D Desai, H El-Ocla, S Purohit - Sensors, 2023 - mdpi.com
A vehicular Ad-Hoc Network (VANET) is a type of Mobile Ad-Hoc Networks (MANETs) that
uses wireless routers inside each vehicle to act as a node. The need for effective solutions to …
uses wireless routers inside each vehicle to act as a node. The need for effective solutions to …
Drl-based resource allocation for motion blur resistant federated self-supervised learning in iov
In the Internet of Vehicles (IoV), Federated Learning (FL) provides a privacy-preserving
solution by aggregating local models without sharing data. Traditional supervised learning …
solution by aggregating local models without sharing data. Traditional supervised learning …
Optimizing Task Offloading with Metaheuristic Algorithms Across Cloud, Fog, and Edge Computing Networks: A Comprehensive Survey and State-of-the-Art Schemes
Abstract The Internet of Things (IoT) significantly impacts various industries, enabling better
connectivity and real-time data exchange for applications ranging from smart cities to …
connectivity and real-time data exchange for applications ranging from smart cities to …
Membrane computing for IoT task offloading: An efficient multi-objective constrained optimization framework
S Tuo, Y Huyan, T Fan, Y Zhao - Applied Soft Computing, 2025 - Elsevier
The computational tasks associated with Internet of Things (IoT) applications have become
increasingly complex, with IoT devices (IoTDs) now being utilized in a multitude of contexts …
increasingly complex, with IoT devices (IoTDs) now being utilized in a multitude of contexts …
Silver‐Nanoparticle‐Embedded Short Amphiphilic Peptide Nanostructures and Their Plausible Application to Reduce Bacterial Infections
The microbiota‐gut‐brain axis (GBA) plays a critical role in the development of
neurodegenerative diseases. Dysbiosis of the intestinal microbiome causes a significant …
neurodegenerative diseases. Dysbiosis of the intestinal microbiome causes a significant …
Joint task offloading and resource allocation in vehicular edge computing networks for emergency logistics
R Li, D Ling, Y Wang, S Zhao… - Mathematical Problems in …, 2023 - Wiley Online Library
As a special form of multiaccess edge computing (MEC), vehicular edge computing (VEC)
plays an important role in emergency logistics by providing real‐time and low‐latency …
plays an important role in emergency logistics by providing real‐time and low‐latency …
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 …
An Efficient Computation Offloading Approach in Multi-access Edge Computing Using Deep Reinforcement Learning
J Wang, Q Yin, X Zhang, M Zhang… - 2022 8th International …, 2022 - ieeexplore.ieee.org
Multi-access Edge Computing (MEC) is a promising paradigm to empower the internet of
things (IoT) devices stronger ability for complicated applications and long hours of service. In …
things (IoT) devices stronger ability for complicated applications and long hours of service. In …