Device-enhanced MEC: Multi-access edge computing (MEC) aided by end device computation and caching: A survey
Multi-access edge computing (MEC) has recently been proposed to aid mobile end devices
in providing compute-and data-intensive services with low latency. Growing service …
in providing compute-and data-intensive services with low latency. Growing service …
Review of communication technologies for electric vehicle charging management and coordination
Recently, electric vehicles (EVs) have been introduced as an alternative method of
transportation to help mitigate environmental issues, such as carbon emissions and fuel …
transportation to help mitigate environmental issues, such as carbon emissions and fuel …
Advanced deep learning-based computational offloading for multilevel vehicular edge-cloud computing networks
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) …
recent shift from vehicular cloud computing (VCC) towards vehicular edge computing (VEC) …
UAV-assisted physical layer security in multi-beam satellite-enabled vehicle communications
In this paper, we investigate unmanned aerial vehicle (UAV) assisted physical layer security
in multi-beam satellite enabled vehicle communications. Particularly, the UAV is exploited as …
in multi-beam satellite enabled vehicle communications. Particularly, the UAV is exploited as …
A novel intelligent transport system charging scheduling for electric vehicles using Grey Wolf Optimizer and Sail Fish Optimization algorithms
R Rajamoorthy, G Arunachalam… - Energy Sources, Part …, 2022 - Taylor & Francis
ABSTRACT Intelligent Transport System (ITS) intentions to attain traffic efficiency by
diminishing traffic difficulties. It supplies information like traffic issues, real-time traveling …
diminishing traffic difficulties. It supplies information like traffic issues, real-time traveling …
Intelligent electric vehicle charging recommendation based on multi-agent reinforcement learning
Electric Vehicle (EV) has become a preferable choice in the modern transportation system
due to its environmental and energy sustainability. However, in many large cities, EV drivers …
due to its environmental and energy sustainability. However, in many large cities, EV drivers …
A deep reinforcement learning-based resource management game in vehicular edge computing
X Zhu, Y Luo, A Liu, NN **ong… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is a promising paradigm that leverages the vehicles to
offload computation tasks to the nearby VEC server with the aim of supporting the low …
offload computation tasks to the nearby VEC server with the aim of supporting the low …
A secure cloudlet-based charging station recommendation for electric vehicles empowered by federated learning
The fast-growing electric vehicles (EVs) industry requires a well-designed recommendation
system to locate charging stations while ensuring private data protection. This article …
system to locate charging stations while ensuring private data protection. This article …
DRAIM: A novel delay-constraint and reverse auction-based incentive mechanism for WiFi offloading
Offloading cellular traffic through WiFi Access Points (APs) has been a promising way to
relieve the overload of cellular networks. However, data offloading process consumes a lot …
relieve the overload of cellular networks. However, data offloading process consumes a lot …
BlockEV: Efficient and secure charging station selection for electric vehicles
The Intelligent Transportation System (ITS) has become essential for the economical and
technological development of a country. The maturity of communication technologies …
technological development of a country. The maturity of communication technologies …