A comprehensive survey of the key technologies and challenges surrounding vehicular ad hoc networks
Vehicular ad hoc networks (VANETs) and the services they support are an essential part of
intelligent transportation. Through physical technologies, applications, protocols, and …
intelligent transportation. Through physical technologies, applications, protocols, and …
[Retracted] Deep and Reinforcement Learning Technologies on Internet of Vehicle (IoV) Applications: Current Issues and Future Trends
L Elmoiz Alatabani, E Sayed Ali… - Journal of Advanced …, 2022 - Wiley Online Library
Recently, artificial intelligence (AI) technology has great attention in transportation systems,
which led to the emergence of a new concept known as Internet of Vehicles (IoV). The IoV …
which led to the emergence of a new concept known as Internet of Vehicles (IoV). The IoV …
Edge-enabled two-stage scheduling based on deep reinforcement learning for internet of everything
Nowadays, the concept of Internet of Everything (IoE) is becoming a hotly discussed topic,
which is playing an increasingly indispensable role in modern intelligent applications. These …
which is playing an increasingly indispensable role in modern intelligent applications. These …
Ubiquitous computation in internet of vehicles for human-centric transport systems
Abstract The Internet of Vehicles (IoV) has the potential to bring about a revolutionary
transformation in transportation through its influence on human behavior and interactions …
transformation in transportation through its influence on human behavior and interactions …
Task scheduling mechanisms for fog computing: a systematic survey
In the Internet of Things (IoT) ecosystem, some processing is done near data production
sites at higher speeds without the need for high bandwidth by combining Fog Computing …
sites at higher speeds without the need for high bandwidth by combining Fog Computing …
Wireless powered metaverse: Joint task scheduling and trajectory design for multi-devices and multi-UAVs
To support the running of human-centric metaverse applications on mobile devices,
Unmanned Aerial Vehicle (UAV)-assisted Wireless Powered Mobile Edge Computing …
Unmanned Aerial Vehicle (UAV)-assisted Wireless Powered Mobile Edge Computing …
The applicability of reinforcement learning methods in the development of industry 4.0 applications
Reinforcement learning (RL) methods can successfully solve complex optimization
problems. Our article gives a systematic overview of major types of RL methods, their …
problems. Our article gives a systematic overview of major types of RL methods, their …
Unmanned era: A service response framework in smart city
The autonomous vehicles (AVs) in smart city, as intelligent mobile robots, are expected to
provide diversified services to facilitate the life of citizens. However, the attributes of the …
provide diversified services to facilitate the life of citizens. However, the attributes of the …
LACCVoV: Linear adaptive congestion control with optimization of data dissemination model in vehicle-to-vehicle communication
AK Sangaiah, JS Ramamoorthi… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Vehicle-to-vehicle communication assists road-side information exchange granting ease of
access and sharing between users. The communication between the vehicles is short-lived …
access and sharing between users. The communication between the vehicles is short-lived …
Intelligent task allocation for mobile crowdsensing with graph attention network and deep reinforcement learning
C Xu, W Song - IEEE Transactions on Network Science and …, 2023 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) leverages crowd intelligence, ie, smart devices and their
owners, to collect data in an intelligent and cost-efficient manner. One of the fundamental …
owners, to collect data in an intelligent and cost-efficient manner. One of the fundamental …