Stochastic Road Side Unit Location Optimization for Information Propagation in the Internet of Vehicles

Over-/underspeeding is one of the leading causes of road accidents. Traditional systems of detecting and reporting speed-limit violations are not suitable for smart cities. Even the sophisticated conventional systems that use cameras or RFIDs for automating speed-limit violations have several drawbacks, including cost, complexity, reliability, and maintenance. In this paper, we present two systems based on the Internet of Vehicles (IoV) to automatically detect speed-limit violations and autonomously report the committed violations to the authorities. Our systems require no extra hardware or equipment: only the On-Board Unit (OBU), the Road Side Unit (RSU), and the Cloud Server software have to be updated to have a fully functioning system as long as the IoV infrastructure is deployed. One of the systems will be installed on the OBU. A second alternative system design is to use Cloud Servers (CSs) and the IoV beacons that are sent from the vehicles. Additionally, unlike the existing systems installed in specific locations, all roads in the smart cities and highways will be fully monitored. Adaptive fine calculation according to new dynamic policies can be easily integrated into the proposed system. Furthermore, the proposed system can accurately operate in all weather conditions. Moreover, it allows the dynamic adjustment of the speed limits according to the current weather conditions. We have validated the proposed system by building a prototype system that effectively and accurately detects and reports over-/underspeed traffic violations alongside any road.

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RTED-SD: A Real-Time Edge Detection Scheme for Sybil DDoS in the Internet of Vehicles

IEEE Access ◽

10.1109/access.2021.3049830 ◽

2021 ◽

pp. 1-1

Author(s):

Jiabin Li ◽

Zhi Xue ◽

Changlian Li ◽

Ming Liu

Keyword(s):

Edge Detection ◽

Real Time ◽

The Internet ◽

Detection Scheme ◽

Internet Of Vehicles

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Blockchain-Based Solutions for UAV-Assisted Connected Vehicle Networks in Smart Cities: A Review, Open Issues, and Future Perspectives

Telecom ◽

10.3390/telecom2010008 ◽

2021 ◽

Vol 2 (1) ◽

pp. 108-140

Author(s):

Paulo Álvares ◽

Lion Silva ◽

Naercio Magaia

Keyword(s):

Traffic Congestion ◽

Resource Constraints ◽

Smart Cities ◽

The Internet ◽

Connected Vehicle ◽

Sensitive Data ◽

Internet Of Vehicles ◽

Smart Vehicles ◽

Security Properties ◽

Vehicle Networks

It had been predicted that by 2020, nearly 26 billion devices would be connected to the Internet, with a big percentage being vehicles. The Internet of Vehicles (IoVa) is a concept that refers to the connection and cooperation of smart vehicles and devices in a network through the generation, transmission, and processing of data that aims at improving traffic congestion, travel time, and comfort, all the while reducing pollution and accidents. However, this transmission of sensitive data (e.g., location) needs to occur with defined security properties to safeguard vehicles and their drivers since attackers could use this data. Blockchain is a fairly recent technology that guarantees trust between nodes through cryptography mechanisms and consensus protocols in distributed, untrustful environments, like IoV networks. Much research has been done in implementing the former in the latter to impressive results, as Blockchain can cover and offer solutions to many IoV problems. However, these implementations have to deal with the challenge of IoV node’s resource constraints since they do not suffice for the computational and energy requirements of traditional Blockchain systems, which is one of the biggest limitations of Blockchain implementations in IoV. Finally, these two technologies can be used to build the foundations for smart cities, enabling new application models and better results for end-users.

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Toward New Intelligent Architectures for the Internet of Vehicles

Intelligent Network Management and Control ◽

10.1002/9781119817840.ch8 ◽

2021 ◽

pp. 193-215

Author(s):

Léo Mendiboure ◽

Mohamed Aymen Chalouf ◽

Francine Krief

Keyword(s):

The Internet ◽

Internet Of Vehicles

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Multi-community Opportunistic Routing Algorithm Based on Machine Learning In the Internet of Vehicles

2021 8th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/2021 7th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom) ◽

10.1109/cscloud-edgecom52276.2021.00043 ◽

2021 ◽

Author(s):

Junhai Zhou ◽

Haihan Wu ◽

Yaping Lin ◽

Wei Liang ◽

Qin Liu

Keyword(s):

Machine Learning ◽

Routing Algorithm ◽

Opportunistic Routing ◽

The Internet ◽

Internet Of Vehicles

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Network Slicing with MEC and Deep Reinforcement Learning for the Internet of Vehicles

IEEE Network ◽

10.1109/mnet.011.2000591 ◽

2021 ◽

pp. 1-7

Author(s):

Zoubeir Mlika ◽

Soumaya Cherkaoui

Keyword(s):

Reinforcement Learning ◽

The Internet ◽

Network Slicing ◽

Internet Of Vehicles

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Data Aggregation in UAV-aided Random Access for the Internet of Vehicles

IEEE Internet of Things Journal ◽

10.1109/jiot.2021.3063734 ◽

2021 ◽

pp. 1-1

Author(s):

Lin Bai ◽

Jiexun Liu ◽

Jiaxing Wang ◽

Rui Han ◽

Jinho Choi

Keyword(s):

Data Aggregation ◽

Random Access ◽

The Internet ◽

Internet Of Vehicles

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Internet of Vehicles: Commencing Intellectual Hoarse Towards Self-Regulating Cars and Vehicular Clouds for Smart Transportation Structure [Vehicular Ad-Hoc Network: A Review and Application in the Internet of Vehicles]

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i3.12.16176 ◽

2018 ◽

Vol 7 (3.12) ◽

pp. 545

Author(s):

Risabh Mishra ◽

M Safa ◽

Aditya Anand

Keyword(s):

Internet Of Things ◽

Wireless Communication ◽

Automobile Industry ◽

Information Exchange ◽

Large Scale ◽

Intelligent Transportation System ◽

Information Service ◽

The Internet ◽

Internet Of Vehicles ◽

The Internet Of Things

Recent advances in wireless communication technologies and automobile industry have triggered a significant research interest in the field of Internet of Vehicles over the past few years.The advanced period of the Internet of Things is guiding the development of conventional Vehicular Networks to the Internet of Vehicles.In the days of Internet connectivity there is need to be in safe and problem-free environment.The Internet of Vehicles (IoV) is normally a mixing of three networks: an inter-vehicleNetwork, an intra-vehicle network, and a vehicle to vehicle network.Based on idea of three networks combining into one, we define Internet of Vehicles as a large-scale distributed system to wireless communication and information exchange between vehicle2X (X: vehicle, road, human and internet).It is a combined network for supporting intelligent traffic management, intelligent dynamic information service, and intelligent vehicle control, representation of an application of the Internet of Things (IoT) technology for intelligent transportation system (ITS).

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