Minimum Latency‐Secure Key Transmission for Cloud‐Based Internet of Vehicles Using Reinforcement Learning
V Akilandeswari, A Kumar… - Computational …, 2022 - Wiley Online Library
The Internet of Vehicles (IoV) communication key management level controls the
confidentiality and security of its data, which may withstand user identity‐based attacks such …
confidentiality and security of its data, which may withstand user identity‐based attacks such …
A fair and cooperative MAC protocol for heterogeneous cognitive radio enabled vehicular ad-hoc networks
Advancements in intelligent transportation necessitate a dependable medium access control
(MAC) protocol to enable high-priority safety broadcasts. Implementing cognitive radio …
(MAC) protocol to enable high-priority safety broadcasts. Implementing cognitive radio …
The upper bounds of cellular vehicle-to-vehicle communication latency for platoon-based autonomous driving
Cellular vehicle-to-vehicle (V2V) communications can support advanced cooperative driving
applications such as vehicle platooning and extended sensing. As the safety critical …
applications such as vehicle platooning and extended sensing. As the safety critical …
RSITS: Road Safety Intelligent Transport System in Deep Federated Learning Assisted Fog Cloud Networks
This paper presents the road safety intelligent transport system (RSITS) based on deep
federated learning-assisted fog cloud networks. RSITS offers mobile LiDAR sensors and …
federated learning-assisted fog cloud networks. RSITS offers mobile LiDAR sensors and …
Joint optimization of fusion rule threshold and transmission power for energy efficient css in cognitive wireless sensor networks
Cooperative spectrum sensing (CSS) can resolve the hidden terminal problem in cognitive
radio (CR) networks. In CSS, the unlicensed users also known as secondary users (SUs) …
radio (CR) networks. In CSS, the unlicensed users also known as secondary users (SUs) …
Vehicle-to-vehicle cooperative driving model considering end-to-end delay of communication network
Y Kang, Y Chen, C Tian - Scientific reports, 2023 - nature.com
To explore the mechanism of the end-to-end transmission delay of the communication
network on the collaborative driving process for traffic flow in the vehicle-to-vehicle …
network on the collaborative driving process for traffic flow in the vehicle-to-vehicle …
DRL-based RAT Selection in a Hybrid Vehicular Communication Network
BY Yacheur, T Ahmed… - 2023 IEEE 97th Vehicular …, 2023 - ieeexplore.ieee.org
Cooperative intelligent transport systems rely on a set of Vehicle-to-Everything (V2X)
applications to enhance road safety. Emerging new V2X applications like Advanced Driver …
applications to enhance road safety. Emerging new V2X applications like Advanced Driver …
Multi-Agent Proximal Policy Optimization-Based Dynamic Client Selection for Federated AI in 6G-Oriented Internet of Vehicles
In the era of 5G-Advanced and 6 G, decentralized machine learning algorithms, particular
federated learning (FL), has become a critical enabling technology for future Internet of …
federated learning (FL), has become a critical enabling technology for future Internet of …
Analysis of performance parameters for wireless network using switching multiple access control method
The developments of wireless networks have directed to search for opportunities of a broad
diversity of improved and new networking contributions. Wireless Asynchronous Transfer …
diversity of improved and new networking contributions. Wireless Asynchronous Transfer …
A Comparative Study on Machine Learning Algorithms for Congestion Control in VANET
M Kezia, KV Anusuya - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
In Vehicular Ad-hoc Networks, vehicles periodically exchange awareness messages for
enhanced safety and traffic management. Massively broadcasted messages in a dense …
enhanced safety and traffic management. Massively broadcasted messages in a dense …