Architectural design alternatives based on cloud/edge/fog computing for connected vehicles

H Wang, T Liu, BG Kim, CW Lin… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
As vehicles playing an increasingly important role in people's daily life, requirements on
safer and more comfortable driving experience have arisen. Connected vehicles (CVs) can …

Delay-aware optimization of energy consumption for task offloading in fog environments using metaheuristic algorithms

M Keshavarznejad, MH Rezvani, S Adabi - Cluster Computing, 2021 - Springer
Due to the limitations associated with the processing capability of mobile devices in cloud
environments, various tasks are offloaded to the cloud server. This has led to an increase in …

[HTML][HTML] A deep reinforcement learning hyper-heuristic with feature fusion for online packing problems

C Tu, R Bai, U Aickelin, Y Zhang, H Du - Expert Systems with Applications, 2023 - Elsevier
In recent years, deep reinforcement learning has shown great potential in solving computer
games with sequential decision-making scenarios. Hyper-heuristic is a generic search …

Distributed clustering-based cooperative vehicular edge computing for real-time offloading requests

J Wang, K Zhu, B Chen, Z Han - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Mobile vehicles have been considered as potential edge servers to provide computation
resources for the emerging Intelligent Transportation System (ITS) applications. However …

A container based edge offloading framework for autonomous driving

J Tang, R Yu, S Liu, JL Gaudiot - ieee Access, 2020 - ieeexplore.ieee.org
Autonomous driving is one of the most innovative applications nowadays. However,
autonomous driving is still suffering from heavy calculation, high energy consumption and …

Optimal task-offloading control for edge computing system with tasks offloaded and computed in sequence

C Hou, Q Zhao - IEEE Transactions on Automation Science and …, 2022 - ieeexplore.ieee.org
This paper considers the edge computing system (ECS) in which the tasks with
dependencies are offloaded and computed in sequence. Different task-offloading orderings …

A metaheuristic-based computation offloading in edge-cloud environment

A Shahidinejad, M Ghobaei-Arani - Journal of Ambient Intelligence and …, 2022 - Springer
In recent years, mobile applications have emerged as a conceivable solution to facilitate
daily activities in various aspects of human life. Due to the resource-limited of mobile …

Towards autonomous vehicles: a survey on cooperative vehicle-infrastructure system

JI Yangjie, Z Zewei, Y Ziru, Y Huang, Y Zhang… - Iscience, 2024 - cell.com
SUMMARY Cooperative Vehicle-Infrastructure System (CVIS) is an important part of the
intelligent transport system (ITS). Autonomous vehicles have the potential to improve safety …

An adaptive Q-value adjustment-based learning model for reliable vehicle-to-UAV computation offloading

J Wang, K Zhu, P Dai, Z Han - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Unmanned Air Vehicle (UAV) has been widely used as the flying edge server to support
ground vehicles' Onboard-Unit (OBU) applications. In this work, we address the challenges …

Optimal task allocation in vehicular fog networks requiring URLLC: An energy-aware perspective

T Liu, J Li, F Shu, Z Han - IEEE Transactions on Network …, 2019 - ieeexplore.ieee.org
In order to make intelligent transportation systems (ITSs) come true, execution of a large
amount of data needs to be migrated from the cloud centers to the edge nodes, especially in …