Multi-objective optimization for resource allocation in vehicular cloud computing networks

W Wei, R Yang, H Gu, W Zhao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Modern transportation is associated with considerable challenges related to safety, mobility,
the environment and space limitations. Vehicular networks are widely considered to be a …

Resource allocation in vehicular cloud computing systems with heterogeneous vehicles and roadside units

CC Lin, DJ Deng, CC Yao - IEEE Internet of Things Journal, 2017 - ieeexplore.ieee.org
Vehicular cloud computing (VCC) system coordinates the vehicular cloud (consisting of
vehicles' computing resources) and the remote cloud properly to provide in-time services to …

Toward cloud-based vehicular networks with efficient resource management

R Yu, Y Zhang, S Gjessing, W Xia, K Yang - Ieee Network, 2013 - ieeexplore.ieee.org
In the era of the Internet of Things, all components in intelligent transportation systems will
be connected to improve transport safety, relieve traffic congestion, reduce air pollution, and …

An SMDP-based resource allocation in vehicular cloud computing systems

K Zheng, H Meng, P Chatzimisios… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Vehicular ad hoc networks are expected to significantly improve traffic safety and
transportation efficiency while providing a comfortable driving experience. However …

A novel adaptive resource allocation model based on SMDP and reinforcement learning algorithm in vehicular cloud system

H Liang, X Zhang, J Zhang, Q Li… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, we propose a novel adaptive cloud resource allocation model based on Semi-
Markov Decision Process (SMDP) and Reinforcement Learning (RL) algorithm in vehicular …

Multi-objective optimization technique for resource allocation and task scheduling in vehicular cloud architecture: A hybrid adaptive nature inspired approach

S Midya, A Roy, K Majumder, S Phadikar - Journal of Network and …, 2018 - Elsevier
Abstract With onset of Intelligent Transport Systems, vehicles are equipped with internet
enabled powerful computation units that provide smart driving assistance, along with various …

Optimal resource sharing in 5G-enabled vehicular networks: A matrix game approach

R Yu, J Ding, X Huang, MT Zhou… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Vehicular networks are expected to accommodate a large number of data-heavy mobile
devices and multiapplication services, whereas it faces a significant challenge when we …

Advanced deep learning-based computational offloading for multilevel vehicular edge-cloud computing networks

M Khayyat, IA Elgendy, A Muthanna… - IEEE …, 2020 - ieeexplore.ieee.org
The promise of low latency connectivity and efficient bandwidth utilization has driven the
recent shift from vehicular cloud computing (VCC) towards vehicular edge computing (VEC) …

A cluster-based vehicular cloud architecture with learning-based resource management

HR Arkian, RE Atani, A Diyanat… - The Journal of …, 2015 - Springer
Recent advances in wireless communication technologies have made it possible to
implement Intelligent Transportation Systems (ITS) to have more safety in roads and …

Workload scheduling in vehicular networks with edge cloud capabilities

I Sorkhoh, D Ebrahimi, R Atallah… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In order to support the development of 5G technologies, researchers are actively engaged in
addressing the challenges accompanying the emerging 5G applications. Unquestionably …