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Blockchain intelligence for internet of vehicles: Challenges and solutions
With the development of communication and networking technologies, the Internet of
Vehicles (IoV) has become the foundation of smart transportation. The development of …
Vehicles (IoV) has become the foundation of smart transportation. The development of …
Machine learning for large-scale optimization in 6g wireless networks
The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …
Survey on digital twin edge networks (DITEN) toward 6G
The next generation (6G) wireless systems aim to cater to the Internet of Everything (IoE)
and revolutionize customer services and applications to a fully intelligent and autonomous …
and revolutionize customer services and applications to a fully intelligent and autonomous …
A survey on machine learning-based misbehavior detection systems for 5g and beyond vehicular networks
Advances in Vehicle-to-Everything (V2X) technology and onboard sensors have significantly
accelerated deploying Connected and Automated Vehicles (CAVs). Integrating V2X with 5G …
accelerated deploying Connected and Automated Vehicles (CAVs). Integrating V2X with 5G …
Balancing QoS and security in the edge: Existing practices, challenges, and 6G opportunities with machine learning
While the emerging 6G networks are anticipated to meet the high-end service quality
demands of the mobile edge users in terms of data rate and delay satisfaction, new attack …
demands of the mobile edge users in terms of data rate and delay satisfaction, new attack …
Network slicing based learning techniques for iov in 5g and beyond networks
The effects of transport development on people's lives are diverse, ranging from economy to
tourism, health care, etc. Great progress has been made in this area, which has led to the …
tourism, health care, etc. Great progress has been made in this area, which has led to the …
On the integration of enabling wireless technologies and sensor fusion for next-generation connected and autonomous vehicles
The automotive industry is transitioning towards intelligent, connected, and autonomous
vehicles to avoid traffic congestion, conflicts, and collisions with increased driver safety …
vehicles to avoid traffic congestion, conflicts, and collisions with increased driver safety …
A survey on integration of network communication into vehicle real-time motion control
In the initial period of automobile development, the vast majority of researchers would never
have guessed network communications would be applied to vehicles one day. After the …
have guessed network communications would be applied to vehicles one day. After the …
DeepADV: A deep neural network framework for anomaly detection in VANETs
We are seeing a growth in the number of connected vehicles in Vehicular Ad-hoc Networks
(VANETs) to achieve the goal of Intelligent Transportation System (ITS). This is leading to a …
(VANETs) to achieve the goal of Intelligent Transportation System (ITS). This is leading to a …
Distributed offloading in overlap** areas of mobile-edge computing for Internet of Things
With the maturity of 5G cellular communication systems and mobile-edge computing (MEC),
a large number of base stations (BSs) with edge-computing servers are densely deployed …
a large number of base stations (BSs) with edge-computing servers are densely deployed …