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Blockchain-Based Internet-of-Vehicle
2021Internet-of-vehicle (IoV) is a heterogeneous environment involving information exchange between system components such as road infrastructure devices, vehicular embedded sensors and other vehicular elements. In IoV network, devices communications and data exchange need to be secure, efficient and transparent to achieve the platform’s goals.
Alkhansaa A. Abuhashim, Chiu C. Tan
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Mobile Edge Computing and Machine Learning in the Internet of Unmanned Aerial Vehicles: A Survey
ACM Computing Surveys, 2023Unmanned Aerial Vehicles (UAVs) play an important role in the Internet of Things and form the paradigm of the Internet of UAVs, due to their characteristics of flexibility, mobility, and low costs.
Zhaolong Ning+6 more
semanticscholar +1 more source
Blockchain for the Internet of Vehicles
2019Recent advancements in the Internet of Things and mobile internet helped the development of traditional Vehicular Adhoc-NETwork (VANET) based systems into the Internet of Vehicles (IoV). Vehicles in IoV make decisions based on the information from other vehicles and roadside infrastructure.
R. Ramaguru, M. Sindhu, M. Sethumadhavan
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IEEE Internet of Things Journal
Information sharing among vehicles plays a critical role in improving driving safety and traffic loads in Internet of Vehicles (IoV). However, due to the existence of malicious vehicles, information sharing among vehicles lacks a trustworthy environment.
Gangxin Du+6 more
semanticscholar +1 more source
Information sharing among vehicles plays a critical role in improving driving safety and traffic loads in Internet of Vehicles (IoV). However, due to the existence of malicious vehicles, information sharing among vehicles lacks a trustworthy environment.
Gangxin Du+6 more
semanticscholar +1 more source
IEEE Transactions on Industrial Informatics, 2022
With the potential of implementing computing-intensive applications, edge computing is combined with digital twinning (DT)-empowered Internet of vehicles (IoV) to enhance intelligent transportation capabilities.
Xiaolong Xu+8 more
semanticscholar +1 more source
With the potential of implementing computing-intensive applications, edge computing is combined with digital twinning (DT)-empowered Internet of vehicles (IoV) to enhance intelligent transportation capabilities.
Xiaolong Xu+8 more
semanticscholar +1 more source
IEEE Internet of Things Journal
In the context of the booming Internet of Vehicles, predicting vehicle trajectories is crucial for intelligent transportation systems. Existing methods, reliant on sensor data and behavior models, struggle with intricate relationships between vehicles ...
Mingxia Yang+6 more
semanticscholar +1 more source
In the context of the booming Internet of Vehicles, predicting vehicle trajectories is crucial for intelligent transportation systems. Existing methods, reliant on sensor data and behavior models, struggle with intricate relationships between vehicles ...
Mingxia Yang+6 more
semanticscholar +1 more source
Digital Twin-Assisted Real-Time Traffic Data Prediction Method for 5G-Enabled Internet of Vehicles
IEEE Transactions on Industrial Informatics, 2022The development of Internet of Vehicles (IoV) has produced a considerable amount of real-time traffic data. These traffic data constitute a kind of digital twin that connects the physical vehicles and their virtual representation via 5G communications ...
Chunhua Hu+6 more
semanticscholar +1 more source
Multikeyword-Ranked Search Scheme Supporting Extreme Environments for Internet of Vehicles
IEEE Internet of Things JournalIn recent years, the cloud infrastructure has been developed as a promising sharing system for the Internet of Vehicles (IoV) communication. During the information exchange, search service over ciphertext called searchable encryption (SE) is an ...
Dequan Xu+5 more
semanticscholar +1 more source
IEEE transactions on intelligent transportation systems (Print), 2022
Vehicle trajectory prediction is a keystone for the application of the internet of vehicles (IoV). With the help of deep learning and big data, it is possible to understand the between-vehicle interaction pattern hidden in the complex traffic environment.
Xiaobo Chen+5 more
semanticscholar +1 more source
Vehicle trajectory prediction is a keystone for the application of the internet of vehicles (IoV). With the help of deep learning and big data, it is possible to understand the between-vehicle interaction pattern hidden in the complex traffic environment.
Xiaobo Chen+5 more
semanticscholar +1 more source
Joint Communication and Trajectory Optimization for Multi-UAV Enabled Mobile Internet of Vehicles
IEEE transactions on intelligent transportation systems (Print), 2022Due to its flexibility and high maneuverability, Unmanned Aerial Vehicle (UAV) is able to quickly provide wireless connections to the ground vehicles in mobile environment.
Xin Liu+3 more
semanticscholar +1 more source