[HTML][HTML] Towards a novel air–ground intelligent platform for vehicular networks: Technologies, scenarios, and challenges
Modern cities require a tighter integration with Information and Communication
Technologies (ICT) for bringing new services to the citizens. The Smart City is the …
Technologies (ICT) for bringing new services to the citizens. The Smart City is the …
Adaptive Caching Scheme for Jointly Optimizing Delay and Energy Consumption in Heterogeneous Digital Twin IoT
With the massive increase of mobile user and sensor data in the heterogeneous Internet of
Things (IoT), the limited caching resources are challenging to meet people's increased data …
Things (IoT), the limited caching resources are challenging to meet people's increased data …
TI-BIoV: Traffic information interaction for blockchain-based IoV with trust and incentive
Recent Blockchain-based Internet of Vehicles (BIoV) solutions are proposed to provide the
capabilities of trust management and incentive distribution for traffic information interaction …
capabilities of trust management and incentive distribution for traffic information interaction …
Handover strategy based on side information in air-ground integrated vehicular networks
The development of the Internet of Things (IoT) and smart cities, combined with the
widespread usage of cooperative or independent air traffic surveillance systems such as …
widespread usage of cooperative or independent air traffic surveillance systems such as …
Joint Top-K Sparsification and Shuffle Model for Communication-Privacy-Accuracy Tradeoffs in Federated Learning-Based IoV
The Internet of Vehicles (IoV) connects a massive amount of smart vehicles for inter/intra-
vehicle information sharing. Data privacy issues, such as privacy leakage and privacy cost …
vehicle information sharing. Data privacy issues, such as privacy leakage and privacy cost …
TraGCAN: Trajectory Prediction of Heterogeneous Traffic Agents in IoV Systems
J Li, H Shi, Y Guo, G Han, R Yu… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
As a core component of the Internet of Vehicles, reasoning about the trajectory of
pedestrians or vehicles in complex road conditions plays a critical role in autonomous …
pedestrians or vehicles in complex road conditions plays a critical role in autonomous …
Few-shot malware traffic classification method using network traffic and meta transfer learning
H Guo, X Zhang, Y Wang, B Adebisi… - 2022 IEEE 96th …, 2022 - ieeexplore.ieee.org
Malware traffic classification (MTC) is a very important component of cyber security, and a
number of the MTC techniques are based on deep learning (DL) with a strong capability of …
number of the MTC techniques are based on deep learning (DL) with a strong capability of …
An effective LS-SVM/AKF aided SINS/DVL integrated navigation system for underwater vehicles
J Sun, F Wang - Peer-to-Peer Networking and Applications, 2022 - Springer
In order to combat the severity of the impact of short-term failure Doppler velocity log (DVL),
we propose a machine learning (ML) aided method for strapdown inertial navigation system …
we propose a machine learning (ML) aided method for strapdown inertial navigation system …
Network selection and computation offloading in non-terrestrial network edge computing environments for vehicular applications
The Edge Computing (EC) paradigm and the Internet of Things (IoT) have transformed the
conventional vehicular network (VN) into a highly reliable, intelligent, and complex …
conventional vehicular network (VN) into a highly reliable, intelligent, and complex …
[HTML][HTML] DRL-driven zero-RIS assisted energy-efficient task offloading in vehicular edge computing networks
The increasing complexity of modern automotive applications presents difficulties when
running them on the on-board units (OBUs) of vehicles. While 5G/6G vehicular edge …
running them on the on-board units (OBUs) of vehicles. While 5G/6G vehicular edge …