Offloading mechanisms based on reinforcement learning and deep learning algorithms in the fog computing environment
Fog computing has emerged as a computing paradigm for resource-restricted Internet of
things (IoT) devices to support time-sensitive and computationally intensive applications …
things (IoT) devices to support time-sensitive and computationally intensive applications …
5G-enabled V2X communications for vulnerable road users safety applications: a review
Abstract Intelligent Transportation System (ITS) is continuously evolving alongside
communication technologies and autonomous driving, giving way to new applications and …
communication technologies and autonomous driving, giving way to new applications and …
[HTML][HTML] IRATS: A DRL-based intelligent priority and deadline-aware online resource allocation and task scheduling algorithm in a vehicular fog network
Cloud computing platforms support the Internet of Vehicles, but the main bottlenecks are
high latency and massive data transmission in cloud-based processing. Vehicular fog …
high latency and massive data transmission in cloud-based processing. Vehicular fog …
Artificial Intelligence techniques to mitigate cyber-attacks within vehicular networks: Survey
Rapid advancements in communication technology have made vehicular networks a reality
with numerous applications. However, vehicular network security is still an open research …
with numerous applications. However, vehicular network security is still an open research …
Deep reinforcement learning‐based resource allocation in multi‐access edge computing
Network architects and engineers face challenges in meeting the increasing complexity and
low‐latency requirements of various services. To tackle these challenges, multi‐access …
low‐latency requirements of various services. To tackle these challenges, multi‐access …
Reinforcement learning-based routing protocols in vehicular ad hoc networks for intelligent transport system (its): A survey
Today, the use of safety solutions in Intelligent Transportation Systems (ITS) is a serious
challenge because of novel progress in wireless technologies and the high number of road …
challenge because of novel progress in wireless technologies and the high number of road …
Machine learning for next‐generation intelligent transportation systems: A survey
Intelligent transportation systems, or ITS for short, includes a variety of services and
applications such as road traffic management, traveler information systems, public transit …
applications such as road traffic management, traveler information systems, public transit …
[HTML][HTML] A comprehensive survey on reinforcement-learning-based computation offloading techniques in edge computing systems
In recent years, the number of embedded computing devices connected to the Internet has
exponentially increased. At the same time, new applications are becoming more complex …
exponentially increased. At the same time, new applications are becoming more complex …
Federated Learning Enabled SDN for Routing Emergency Safety Messages (ESMs) in IoV Under 5G Environment
The emerging fifth-generation (5G) technology towards Internet of Vehicles (IoV) provides
numerous advantages, such as lower levels of latency, stable link connections, and support …
numerous advantages, such as lower levels of latency, stable link connections, and support …
A systematic literature review of flying ad hoc networks: State‐of‐the‐art, challenges, and perspectives
Unmanned aerial vehicles (UAVs), also known as drones, communicate, collaborate, and
form flying ad hoc networks (FANETs) to perform many different missions, ranging from …
form flying ad hoc networks (FANETs) to perform many different missions, ranging from …