In-network caching for icn-based iot (icn-iot): A comprehensive survey
The Internet of Things (IoT) has already emerged as one of the most popular directions in
today's information and communication technology (ICT) domain. With its advancement over …
today's information and communication technology (ICT) domain. With its advancement over …
Mobility-aware multi-hop task offloading for autonomous driving in vehicular edge computing and networks
Vehicular Edge Computing (VEC) has gained increasing interest due to its potential to
provide low latency and reduce the load in backhaul networks. In order to meet drastically …
provide low latency and reduce the load in backhaul networks. In order to meet drastically …
An edge traffic flow detection scheme based on deep learning in an intelligent transportation system
An intelligent transportation system (ITS) plays an important role in public transport
management, security and other issues. Traffic flow detection is an important part of the ITS …
management, security and other issues. Traffic flow detection is an important part of the ITS …
Blockchain-enabled secure data sharing scheme in mobile-edge computing: An asynchronous advantage actor–critic learning approach
Mobile-edge computing (MEC) plays a significant role in enabling diverse service
applications by implementing efficient data sharing. However, the unique characteristics of …
applications by implementing efficient data sharing. However, the unique characteristics of …
A survey of data dissemination schemes in vehicular named data networking
Abstract Vehicular Ad hoc NETworks (VANETs) have become a leading technology
receiving great attention from various research communities as a pivotal infrastructure for …
receiving great attention from various research communities as a pivotal infrastructure for …
Edge content caching with deep spatiotemporal residual network for IoV in smart city
Internet of Vehicles (IoV) enables numerous in-vehicle applications for smart cities, driving
increasing service demands for processing various contents (eg, videos). Generally, for …
increasing service demands for processing various contents (eg, videos). Generally, for …
Vehicular intelligence in 6G: Networking, communications, and computing
With the deployment of 5G, researchers and experts begin to look forward to 6G. They
predict that 6G will be the key driving force for information interaction and social life after …
predict that 6G will be the key driving force for information interaction and social life after …
Distributed computation offloading method based on deep reinforcement learning in ICV
With the rapid development of Intelligent Connected Vehicles (ICVs), more effective
computation resources optimization schemes in task scheduling are exactly required for …
computation resources optimization schemes in task scheduling are exactly required for …
Traffic flow prediction based on deep learning in internet of vehicles
In Internet of Vehicles (IoV), accurate traffic flow prediction is helpful for analyzing road
condition and then timely feedback traffic information to managers as well as travelers …
condition and then timely feedback traffic information to managers as well as travelers …
Data dissemination for industry 4.0 applications in internet of vehicles based on short-term traffic prediction
As a key use case of Industry 4.0 and the Smart City, the Internet of Vehicles (IoV) provides
an efficient way for city managers to regulate the traffic flow, improve the commuting …
an efficient way for city managers to regulate the traffic flow, improve the commuting …