Results 51 to 60 of about 14,067 (191)
ABSTRACT Quantum‐native communication systems are reshaping secure, programmable, and coherence‐aware networking beyond the classical paradigm. As intelligent physical infrastructures, ranging from unmanned aerial vehicle swarms to satellite Quantum Key Distribution (QKD) platforms, demand trust, synchronization, and ultra‐reliability, conventional ...
Shakil Ahmed +2 more
wiley +1 more source
Channel Coding QoS Analysis in 5G V2X Dynamic Propagation Models
Vehicle-to-everything (V2X) communications is a crucial area of wireless communications and is of primary interest for automakers, smart cities, municipal services, traffic planners, and law enforcement authorities.
Dimitrios Chatzoulis +4 more
doaj +1 more source
Comparative Experiments of V2X Security Protocol Based on Hash Chain Cryptography
Vehicle-to-everything (V2X) is the communication technology designed to support road safety for drivers and autonomous driving. The light-weight security solution is crucial to meet the real-time needs of on-board V2X applications.
Shimaa A. Abdel Hakeem +2 more
doaj +1 more source
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong +13 more
wiley +1 more source
Automotive Antennas for V2X Communications [PDF]
The main topic of this thesis is about the design and prototyping of automotive antennas that allows Vehicle to Everything (V2X) communications, that is the communication between the vehicle and all what else is relevant. In particular 5G will be an enabling technology for these communications.
openaire +1 more source
ABSTRACT As a government‐regulated public service, traffic signal control (TSC) requires reliable and transparent decision‐making. However, existing deep reinforcement learning (DRL) methods, despite improvements in control accuracy, still lack explainability and generalisation, severely limiting their applicability in real‐world environments.
Hao Huang +8 more
wiley +1 more source
ABSTRACT The development of autonomous electric vehicles (AEVs) represents the convergence of two simultaneous automotive revolutions: electric vehicles (EVs) and autonomous vehicles (AVs). AVs require sensors, decision‐making systems and actuation systems to achieve autonomous driving, whereas EVs require intelligent management and real‐time ...
Ohud Alsadi +5 more
wiley +1 more source
Automatic and efficient driving strategies while approaching a traffic light
Vehicle-infrastructure communication opens up new ways to improve traffic flow efficiency at signalized intersections. In this study, we assume that equipped vehicles can obtain information about switching times of relevant traffic lights in advance ...
Kesting, Arne, Treiber, Martin
core +1 more source
This article talks about blockEHR Healthcare providers can validate raw physiological data with the help of IoMT devices and edge computing role‐based access control (RBAC). ABSTRACT In centralized systems prone to data breaches and single points of failure, issues about security, privacy, scalability, and real‐time sharing of electronic health records
R. Rajakarthik +2 more
wiley +1 more source
The technical exploration of safe automated driving has evolved from single vehicle intelligence to vehicular networking. Therefore, to a certain extent, the safety requirements have been translated into the requirements for network performance. Although
Zongdian Li +4 more
doaj +1 more source

