SEARCH: An SDN-enabled approach for vehicle path-planning
With increasing vehicle density and the growth of accidents in urban areas, navigation
management becomes a serious problem. Even though there is a multitude of navigation …
management becomes a serious problem. Even though there is a multitude of navigation …
Joint unmanned aerial vehicle (UAV) deployment and power control for Internet of Things networks
In this paper, we study unmanned aerial vehicle (UAV) aided internet of things (IoT)
networks, where UAVs facilitate data transmission of IoT devices. We focus on uplink …
networks, where UAVs facilitate data transmission of IoT devices. We focus on uplink …
Intelligent traffic management in next-generation networks
The recent development of smart devices has lead to an explosion in data generation and
heterogeneity. Hence, current networks should evolve to become more intelligent, efficient …
heterogeneity. Hence, current networks should evolve to become more intelligent, efficient …
Detecting motion blurred vehicle logo in IoV using filter-DeblurGAN and VL-YOLO
Extracting vehicle information is of great significance to the construction of the Internet of
Vehicles (IoV). Vehicle logo detection (VLD) technology can effectively extract vehicle …
Vehicles (IoV). Vehicle logo detection (VLD) technology can effectively extract vehicle …
A continuous-decision virtual network embedding scheme relying on reinforcement learning
Network Virtualization (NV) techniques allow multiple virtual network requests to beneficially
share resources on the same substrate network, such as node computational resources and …
share resources on the same substrate network, such as node computational resources and …
ResInNet: A novel deep neural network with feature reuse for Internet of Things
Deep neural networks (DNNs) have widely used in various Internet-of-Things (IoT)
applications. Pursuing superior performance is always a hot spot in the field of DNN …
applications. Pursuing superior performance is always a hot spot in the field of DNN …
Dynamic anti-jamming coalition for satellite-enabled army IoT: A distributed game approach
C Han, A Liu, H Wang, L Huo… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Satellite-enabled army Internet of Things (SaIoT) has drawn increasing attention due to the
wide-coverage and large-capacity transmission. However, the smart jamming based on …
wide-coverage and large-capacity transmission. However, the smart jamming based on …
Intelligent anti-jamming communication for wireless sensor networks: A multi-agent reinforcement learning approach
Q Zhou, Y Li, Y Niu - IEEE Open Journal of the …, 2021 - ieeexplore.ieee.org
In this article, we investigate intelligent anti-jamming communication method for wireless
sensor networks. The stochastic game framework is introduced to model and analyze the …
sensor networks. The stochastic game framework is introduced to model and analyze the …
Reinforcement learning-based radio resource control in 5G vehicular network
Y Zhou, F Tang, Y Kawamoto… - IEEE Wireless …, 2019 - ieeexplore.ieee.org
Recently, the number of user equipment with high mobility (such as vehicles) and the high
traffic demand is immensely increasing. To sustaining the traffic demand, Time Division …
traffic demand is immensely increasing. To sustaining the traffic demand, Time Division …
Auxiliary vehicle positioning based on robust DOA estimation with unknown mutual coupling
As an important branch of the Internet of Vehicles (IoV), vehicle positioning has drawn
extensive attention. Traditional positioning systems based on a global positioning system …
extensive attention. Traditional positioning systems based on a global positioning system …