Three-Side Dynamic Task Offloading for Smart Roads Enabled Vehicular Edge Computing

Y Wang, Q Luo, Y Hui, Z Liu, C Li - 2020 IEEE 92nd Vehicular …, 2020 - ieeexplore.ieee.org
Smart roads can achieve a comprehensive, real-time and accurate perception of road
environment, which is of great significance for intelligent transportation systems (ITS) …

Energy-efficient computation offloading for vehicular edge computing networks

X Gu, G Zhang - Computer Communications, 2021 - Elsevier
The demanding computing capacity of emerging vehicular applications has emerged as a
challenge in Internet of vehicles (IoVs). Multi-access edge computing (MEC) can significantly …

[PDF][PDF] QoS-SLA-Aware Artificial Intelligence Adaptive Genetic Algorithm for Multi-Request Offloading in Integrated Edge-Cloud Computing System for the Internet of …

L Ismail, H Materwala, HS Hassanein - constraints, 2022 - academia.edu
Networks (VANETS) is an emerging technology enabling the development of smart cities
applications for safer, efficient, and pleasant travel. These applications have stringent …

Joint Optimization of Computation Offloading and Resource Allocation Considering Task Prioritization in ISAC-Assisted Vehicular Network

D Cao, M Wu, N Gu, RS Sherratt… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
In the vehicular networks (VN) assisted by the integration of sensing and communication
(ISAC), rapid processing of data from sensors is a necessary condition to ensure safe driving …

Augmented Intelligence of Things for Priority-Aware Task Offloading in Vehicular Edge Computing

X Wang, J Lv, A Slowik, BG Kim… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Vehicular edge computing (VEC) systems face challenges in providing real-time intelligent
transportation services due to limited computing resources at VEC servers, which lead to …

[HTML][HTML] QoS-aware joint task scheduling and resource allocation in vehicular edge computing

C Cao, M Su, S Duan, M Dai, J Li, Y Li - Sensors, 2022 - mdpi.com
Vehicular edge computing (VEC) has emerged in the Internet of Vehicles (IoV) as a new
paradigm that offloads computation tasks to Road Side Units (RSU), aiming to thereby …

Intelligent resource allocation for utility optimization in RSU-empowered vehicular network

C Tang, C Zhu, X Wei, H Wu, Q Li… - IEEE access, 2020 - ieeexplore.ieee.org
Intelligent transportation system (ITS) has attracted extensive attention in both academia and
industry for its potential benefits. For example, ITS is dedicated to convenient, economical …

Energy-efficient resource allocation for UAV-empowered mobile edge computing system

Y Cheng, Y Liao, X Zhai - … on Utility and Cloud Computing (UCC …, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been gained significant attention from mobile
network operators (MNOs) to provision low-latency wireless big data applications, where a …

[HTML][HTML] DRL-driven zero-RIS assisted energy-efficient task offloading in vehicular edge computing networks

MA Mirza, J Yu, M Ahmed, S Raza, WU Khan… - Journal of King Saud …, 2023 - Elsevier
The increasing complexity of modern automotive applications presents difficulties when
running them on the on-board units (OBUs) of vehicles. While 5G/6G vehicular edge …

A reinforcement learning based task offloading scheme for vehicular edge computing network

J Zhang, H Guo, J Liu - … on artificial intelligence for communications and …, 2019 - Springer
Recently, the trends of automation and intelligence in vehicular networks have led to the
emergence of intelligent connected vehicles (ICVs), and various intelligent applications like …