Edge computing with artificial intelligence: A machine learning perspective
Recent years have witnessed the widespread popularity of Internet of things (IoT). By
providing sufficient data for model training and inference, IoT has promoted the development …
providing sufficient data for model training and inference, IoT has promoted the development …
Task offloading paradigm in mobile edge computing-current issues, adopted approaches, and future directions
Many enterprise companies migrate their services and applications to the cloud to benefit
from cloud computing advantages. Meanwhile, the rapidly increasing number of connected …
from cloud computing advantages. Meanwhile, the rapidly increasing number of connected …
Profit maximization of independent task offloading in MEC-enabled 5G internet of vehicles
The development of the Internet of Vehicles (IoVs) has attracted much attention due to the
increasing number of connected cars. IoV refers to the interconnection of vehicles with other …
increasing number of connected cars. IoV refers to the interconnection of vehicles with other …
Artificial intelligence for edge service optimization in internet of vehicles: A survey
X Xu, H Li, W Xu, Z Liu, L Yao… - Tsinghua Science and …, 2021 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) plays a crucial role in providing diversified services because of
its powerful capability of collecting real-time information. Generally, collected information is …
its powerful capability of collecting real-time information. Generally, collected information is …
Resource allocation in 5G IoV architecture based on SDN and fog-cloud computing
B Cao, Z Sun, J Zhang, Y Gu - IEEE transactions on intelligent …, 2021 - ieeexplore.ieee.org
In the traditional cloud-based Internet of Vehicles (IoV) architecture, it is difficult to guarantee
the low latency requirements of the current intelligent transportation system (ITS). As a …
the low latency requirements of the current intelligent transportation system (ITS). As a …
UAV-enabled covert federated learning
Integrating unmanned aerial vehicles (UAVs) with federated learning (FL) has been seen as
a promising paradigm for dealing with the massive amounts of data generated by intelligent …
a promising paradigm for dealing with the massive amounts of data generated by intelligent …
RL/DRL meets vehicular task offloading using edge and vehicular cloudlet: A survey
The last two decades have seen a clear trend toward crafting intelligent vehicles based on
the significant advances in communication and computing paradigms, which provide a safer …
the significant advances in communication and computing paradigms, which provide a safer …
Priority-aware task offloading in vehicular fog computing based on deep reinforcement learning
Vehicular fog computing (VFC) has been expected as a promising scheme that can increase
the computational capability of vehicles without relying on servers. Comparing with …
the computational capability of vehicles without relying on servers. Comparing with …
Deep reinforcement learning-based energy-efficient edge computing for internet of vehicles
Mobile network operators (MNOs) allocate computing and caching resources for mobile
users by deploying a central control system. Existing studies mainly use programming and …
users by deploying a central control system. Existing studies mainly use programming and …
A comprehensive survey on vehicular networking: Communications, applications, challenges, and upcoming research directions
Nowadays, advanced communication technologies are being utilized to develop intelligent
transportation management and driving assistance. Through the ability to exchange traffic …
transportation management and driving assistance. Through the ability to exchange traffic …