scholarly journals Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Systems

IEEE Network ◽  
2021 ◽  
Vol 35 (3) ◽  
pp. 88-94
Author(s):  
Dimitrios Michael Manias ◽  
Abdallah Shami
Sensors ◽  
2019 ◽  
Vol 19 (14) ◽  
pp. 3107 ◽  
Author(s):  
Ramon Sanchez-Iborra ◽  
José Santa ◽  
Jorge Gallego-Madrid ◽  
Stefan Covaci ◽  
Antonio Skarmeta

Internet of Vehicles (IoV) is a hot research niche exploiting the synergy between Cooperative Intelligent Transportation Systems (C-ITS) and the Internet of Things (IoT), which can greatly benefit of the upcoming development of 5G technologies. The variety of end-devices, applications, and Radio Access Technologies (RATs) in IoV calls for new networking schemes that assure the Quality of Service (QoS) demanded by the users. To this end, network slicing techniques enable traffic differentiation with the aim of ensuring flow isolation, resource assignment, and network scalability. This work fills the gap of 5G network slicing for IoV and validates it in a realistic vehicular scenario. It offers an accurate bandwidth control with a full flow-isolation, which is essential for vehicular critical systems. The development is based on a distributed Multi-Access Edge Computing (MEC) architecture, which provides flexibility for the dynamic placement of the Virtualized Network Functions (VNFs) in charge of managing network traffic. The solution is able to integrate heterogeneous radio technologies such as cellular networks and specific IoT communications with potential in the vehicular sector, creating isolated network slices without risking the Core Network (CN) scalability. The validation results demonstrate the framework capabilities of short and predictable slice-creation time, performance/QoS assurance and service scalability of up to one million connected devices.


Sensors ◽  
2020 ◽  
Vol 20 (14) ◽  
pp. 3928 ◽  
Author(s):  
Rateb Jabbar ◽  
Mohamed Kharbeche ◽  
Khalifa Al-Khalifa ◽  
Moez Krichen ◽  
Kamel Barkaoui

The concept of smart cities has become prominent in modern metropolises due to the emergence of embedded and connected smart devices, systems, and technologies. They have enabled the connection of every “thing” to the Internet. Therefore, in the upcoming era of the Internet of Things, the Internet of Vehicles (IoV) will play a crucial role in newly developed smart cities. The IoV has the potential to solve various traffic and road safety problems effectively in order to prevent fatal crashes. However, a particular challenge in the IoV, especially in Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communications, is to ensure fast, secure transmission and accurate recording of the data. In order to overcome these challenges, this work is adapting Blockchain technology for real time application (RTA) to solve Vehicle-to-Everything (V2X) communications problems. Therefore, the main novelty of this paper is to develop a Blockchain-based IoT system in order to establish secure communication and create an entirely decentralized cloud computing platform. Moreover, the authors qualitatively tested the performance and resilience of the proposed system against common security attacks. Computational tests showed that the proposed solution solved the main challenges of Vehicle-to-X (V2X) communications such as security, centralization, and lack of privacy. In addition, it guaranteed an easy data exchange between different actors of intelligent transportation systems.


Electronics ◽  
2021 ◽  
Vol 10 (18) ◽  
pp. 2223 ◽  
Author(s):  
Sarah Ali Siddiqui ◽  
Adnan Mahmood ◽  
Quan Z. Sheng ◽  
Hajime Suzuki ◽  
Wei Ni

Over the past decade, the groundbreaking technological advancements in the Internet of Vehicles (IoV) coupled with the notion of trust have attracted increasing attention from researchers and experts in intelligent transportation systems (ITS), wherein vehicles establish a belief towards their peers in the pursuit of ensuring safe and efficacious traffic flows. Diverse domains have been taking advantage of trust management models in the quest of alleviating diverse insider attacks, wherein messages generated by legitimate users are altered or counterfeited by malicious entities, subsequently, endangering the lives of drivers, passengers, and vulnerable pedestrians. In the course of vehicles forming perceptions towards other participating vehicles, a range of contributing parameters regarding the interactions among these vehicles are accumulated to establish a final opinion towards a target vehicle. The significance of these contributing parameters is typically represented by associating a weighting factor to each contributing attribute. The values assigned to these weighting factors are often set manually, i.e., these values are predefined and do not take into consideration any affecting parameters. Furthermore, a threshold is specified manually that classifies the vehicles into honest and dishonest vehicles relying on the computed trust. Moreover, adversary models as an extension to trust management models in order to tackle the variants of insider attacks are being extensively emphasized in the literature. This paper, therefore, reviews the state of the art in the vehicular trust management focusing on the aforementioned factors such as quantification of weights, quantification of threshold, misbehavior detection, etc. Moreover, an overarching IoV architecture, constituents within the notion of trust, and attacks relating to the IoV have also been presented in addition to open research challenges in the subject domain.


Author(s):  
Talal A. Butt ◽  
Razi Iqbal ◽  
Mounir Kehal

Advent of internet of things (IoT) has significantly enriched the opportunities of crafting state-of-the-art applications of smart connected objects. Intelligent transportation systems (ITS) are playing a vital role in the development of smart systems for transportation throughout the world. Based on IoT, the internet of vehicles (IoV) paradigm is emerging to revolutionize the field of ITS. In this paradigm, vehicles leverage the use of internet for socializing with other vehicles, infrastructures, passengers, and drivers. This concept of vehicle socialization is referred to as social internet of vehicles (SIoV). This chapter presents the GCC (Gulf Cooperation Council) perspective of SIoVs by highlighting the latest trends being followed by GCC countries in the broader field ITS. It also provides an insight into opportunities enabled by SIoV applications that can be availed by GCC countries along with the challenges and limitations.


2013 ◽  
Vol 748 ◽  
pp. 946-952
Author(s):  
Jia Qiao Liu ◽  
Gui He Qin ◽  
Kun Lun Duan

Vehicle will be connected to the Internet as both for ubiquitous remote controlling and as a means to meet Intelligent Transportation Systems (ITS) needs. At first, a gateway system between Controller Area Network (CAN) and IPV6 is required to connect vehicles to the Internet. Then this paper achieves the access of vehicle information and the control of vehicle using the CDMA wireless network based on the gateway. Finally, according to the result of the test, we have verified the correction and effectiveness of the control system.


Author(s):  
Hamdan Hejazi ◽  
László Bokor

In the past few years, automotive Internet of Things (IoT) solutions have become one of the most significant IoT application areas in the shape of vehicular communication to connect vehicles and such the so-called Internet of Vehicles (IoV) to be used in Intelligent Transportation Systems (ITS) environments. With an increasing level of cooperation, ITS could facilitate smart city operations by providing cooperative intelligent traffic solutions. Modern Cooperative ITS (C-ITS) solutions have started to be implemented in the whole world with various deployment models and significant improvements in the integration of Vehicle-to-Everything (V2X) communication and IoT solutions. To highlight the current V2X technology evolution towards an IoT/IoV era, this paper presents a comprehensive survey about the convergence between IoT and V2X use-cases together with their supporting technologies in the cooperative ITS ecosystem worldwide. We show how IoT could enable advanced V2X applications to get widespread and increase ITS efficiency.


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