Applications of game theory in vehicular networks: A survey
In the Internet of Things (IoT) era, vehicles and other intelligent components in an intelligent
transportation system (ITS) are connected, forming vehicular networks (VNs) that provide …
transportation system (ITS) are connected, forming vehicular networks (VNs) that provide …
Cooperative optimization techniques in distributed MAC protocols–a survey
R Subramanyam, YA Jancy… - International Journal of …, 2024 - emerald.com
Purpose Cross-layer approach in media access control (MAC) layer will address
interference and jamming problems. Hybrid distributed MAC can be used for simultaneous …
interference and jamming problems. Hybrid distributed MAC can be used for simultaneous …
Authentication and resource allocation strategies during handoff for 5G IoVs using deep learning
One of the most sought-after applications of cellular technology is transforming a vehicle into
a device that can connect with the outside world, similar to smartphones. This connectivity is …
a device that can connect with the outside world, similar to smartphones. This connectivity is …
Deep deterministic policy gradient-based algorithm for computation offloading in iov
The continuous evolution of cellular networks has resulted in the rapid increase in both
mobile applications and devices in the Internet of Vehicles. The introduction of the multi …
mobile applications and devices in the Internet of Vehicles. The introduction of the multi …
Deep learning‐influenced joint vehicle‐to‐infrastructure and vehicle‐to‐vehicle communication approach for internet of vehicles
The internet of vehicle (IoV) orchestration is an emerging technology in heterogeneous
vehicles to contrivance diverse intelligent transportation applications. The roadside unit …
vehicles to contrivance diverse intelligent transportation applications. The roadside unit …
A safe-distance control scheme to avoid new infection like COVID-19 virus using millimeter-wave radar
The continuous mutation of the novel coronavirus (COVID-19) necessitates effective urban
public health safety measures. In public spaces, enforcing social distancing is crucial to …
public health safety measures. In public spaces, enforcing social distancing is crucial to …
Infrared and Visible Image Homography Estimation Based on Feature Correlation Transformers for Enhanced 6G Space–Air–Ground Integrated Network Perception
X Wang, Y Luo, Q Fu, Y Rui, C Shu, Y Wu, Z He, Y He - Remote Sensing, 2023 - mdpi.com
The homography estimation of infrared and visible images, a key technique for assisting
perception, is an integral element within the 6G Space–Air–Ground Integrated Network (6G …
perception, is an integral element within the 6G Space–Air–Ground Integrated Network (6G …
Analysis of Public Space in Historic Districts Based on Community Governance and Neural Networks
F Ding, Y Ren, S Goudos, Y Zhao - IEEE Access, 2023 - ieeexplore.ieee.org
Based on the perspective of community governance, this paper explores the research path
of public space renewal in historic city districts. Taking the historical public space of Lhasa …
of public space renewal in historic city districts. Taking the historical public space of Lhasa …
An rfid tag movement trajectory tracking method based on multiple RF characteristics for electronic vehicle identification ITS applications
R Pan, Z Han, T Liu, H Wang, J Huang, W Wang - Sensors, 2023 - mdpi.com
Intelligent transportation systems (ITS) urgently need to realize vehicle identification,
dynamic monitoring, and traffic flow monitoring under high-speed motion conditions. Vehicle …
dynamic monitoring, and traffic flow monitoring under high-speed motion conditions. Vehicle …
Hyperparameter optimization method based on dynamic Bayesian with sliding balance mechanism in neural network for cloud computing
J Zhang, T Wang, B Wang, C Chen, G Wang - Journal of Cloud Computing, 2023 - Springer
Hyperparameter optimization (HPO) of deep neural networks plays an important role of
performance and efficiency of detection networks. Especially for cloud computing, automatic …
performance and efficiency of detection networks. Especially for cloud computing, automatic …