Advances in Internet of Vehicles (IoV)

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (30 June 2020) | Viewed by 14919

Special Issue Editors


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Information Security Engineering Department, Soonchunhyang University, Chungcheongnam-do, Asan-si, Sinchang-myeon, Suncheonhyang-ro, Korea
Interests: UAV communications; 5G networks; drone security; estimation and prediction theory; blockchain; statistics and data analytics
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Guest Editor
School of Computer Science and Engineering, Vellore Institute of Technology (VIT), Vellore 632014, India
Interests: machine learning; communication systems and networks; multimedia and computer vision; artificial intelligence; data science; wireless networks
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Internet of Vehicles (IoV) is a specialized form of vehicular ad hoc networks (VANETs) that refer to decentralized networks, where vehicles or nodes cooperate with each other to achieve a common goal. VANETs are envisioned to play an essential role in future smart cities and Internet of Things (IoT) scenarios, allowing vehicles to exchange critical information among them (vehicle-to-vehicle communications, V2V) and with the existing traffic infrastructure (vehicle-to-infrastructure communications, V2I). Applications, such as collision avoidance, route planning, traffic congestion measurement, mobile sensing, warning systems, centric-information systems, intelligent transportation systems, and so on, will be possible thank to the cooperation of vehicles via wireless communications in single and multi-hop ways.

To the aim of accomplishing such challenging applications, several issues should be addressed and solved by the research community, such as efficient wireless communication technologies, secure and robust communication protocols, optimal deployments of road site units, mobility prediction, autonomous driving, performance evaluation, and real testbeds, among others. Although many research works can be found in the current literature, many issues are still far to be solved. Consequently, this Special Issue on IoV/VANETs is aimed at publishing ground-breaking research, projects, and standardization efforts that have been done in the area of vehicular communications.

Topics:

Potential topics include, but are not limited to:

  • Routing protocols for IoV
  • Data dissemination protocols for IoV
  • Broadcasting algorithms for IoV
  • Secure communications for V2V and V2I communications
  • Deployment of RSU for V2I communications
  • Wireless Technologies for VANETs
  • Mobility models for VANETs
  • Performance evaluation of IoV
  • Opportunistic networks in vehicular scenarios
  • Real testbeds
  • Simulation tools for IoV
  • 5G in vehicular networking
  • Autonomous vehicles for IoV
  • Smart cities
  • Cooperative applications of IoV and UAVs
  • Machine learning techniques applied to IoV
  • Evolutionary computation approaches for IoV

Dr. Daniel Gutiérrez Reina
Dr. Vishal Sharma
Dr. Kathiravan Srinivasan
Guest Editors

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Keywords

  • IoV
  • VANETs
  • Communication Protocols
  • Deployments
  • Performance Evaluation
  • Simulation Tools
  • Testbeds
  • Smart Cities

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Published Papers (3 papers)

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Research

15 pages, 2024 KiB  
Article
Improving Recommendation Accuracy Using Social Network of Owners in Social Internet of Vehicles
by Kashif Zia, Muhammad Shafi and Umar Farooq
Future Internet 2020, 12(4), 69; https://doi.org/10.3390/fi12040069 - 16 Apr 2020
Cited by 10 | Viewed by 4105
Abstract
The latest manifestation of “all connected world" is the Internet of Things (IoT), and Internet of Vehicles (IoV) is one of the key examples of IoT these days. In Social IoV (SIoV), each vehicle is treated as a social object where it establishes [...] Read more.
The latest manifestation of “all connected world" is the Internet of Things (IoT), and Internet of Vehicles (IoV) is one of the key examples of IoT these days. In Social IoV (SIoV), each vehicle is treated as a social object where it establishes and manages its own Social Network (SN). Incidentally, most of the SIoV research in the literature is related to proximity-based connectivity and interactions. In this paper, we bring people in the loop by incorporating their SNs. While emphasizing a recommendation scenario, in which vehicles may require recommendations from SNs of their owners (in addition to their own SIoV), we proposed an agent-based model of information sharing (for context-based recommendations) on a hypothetical population of smart vehicles. Some important hypotheses were tested using a realistic simulation setting. The simulation results reveal that a recommendation using weak ties is more valuable than a recommendation using strong ties in pure SIoV. The simulation results also demonstrate that recommendations using the most-connected person in the social network are not more valuable than recommendation using a random person in the social network. The model presented in this paper can be used to design a multi-scale recommendation system, which uses SIoV and a typical SN in combination. Full article
(This article belongs to the Special Issue Advances in Internet of Vehicles (IoV))
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18 pages, 639 KiB  
Article
Authentication-Based Secure Data Dissemination Protocol and Framework for 5G-Enabled VANET
by Nishu Gupta, Ravikanti Manaswini, Bongaram Saikrishna, Francisco Silva and Ariel Teles
Future Internet 2020, 12(4), 63; https://doi.org/10.3390/fi12040063 - 1 Apr 2020
Cited by 38 | Viewed by 5599
Abstract
The amalgamation of Vehicular Ad hoc Network (VANET) with the Internet of Things (IoT) leads to the concept of the Internet of Vehicles (IoV). IoV forms a solid backbone for Intelligent Transportation Systems (ITS), which paves the way for technologies that better explain [...] Read more.
The amalgamation of Vehicular Ad hoc Network (VANET) with the Internet of Things (IoT) leads to the concept of the Internet of Vehicles (IoV). IoV forms a solid backbone for Intelligent Transportation Systems (ITS), which paves the way for technologies that better explain about traffic efficiency and their management applications. IoV architecture is seen as a big player in different areas such as the automobile industry, research organizations, smart cities and intelligent transportation for various commercial and scientific applications. However, as VANET is vulnerable to various types of security attacks, the IoV structure should ensure security and efficient performance for vehicular communications. To address these issues, in this article, an authentication-based protocol (A-MAC) for smart vehicular communication is proposed along with a novel framework towards an IoV architecture model. The scheme requires hash operations and uses cryptographic concepts to transfer messages between vehicles to maintain the required security. Performance evaluation helps analyzing its strength in withstanding various types of security attacks. Simulation results demonstrate that A-MAC outshines other protocols in terms of communication cost, execution time, storage cost, and overhead. Full article
(This article belongs to the Special Issue Advances in Internet of Vehicles (IoV))
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23 pages, 10702 KiB  
Article
A Yielding Protocol that Uses Inter-Vehicle Communication to Improve the Traffic of Vehicles on a Low-Priority Road at an Unsignalized Intersection
by Hayato Yajima and Kazumasa Takami
Future Internet 2019, 11(5), 110; https://doi.org/10.3390/fi11050110 - 9 May 2019
Cited by 1 | Viewed by 3680
Abstract
Self-driven vehicles are being actively developed. When widespread, they will help reduce the number of traffic accidents and ease traffic congestion. They will coexist with human-driven vehicles for years. If there is a mismatch between human drivers’ operations and the judgments of self-driven [...] Read more.
Self-driven vehicles are being actively developed. When widespread, they will help reduce the number of traffic accidents and ease traffic congestion. They will coexist with human-driven vehicles for years. If there is a mismatch between human drivers’ operations and the judgments of self-driven vehicles, congestion may arise at an unsignalized intersection, in particular, where roads are prioritized. Vehicles on the low-priority road attempting to cross, or turn to, the priority road can significantly reduce the traffic flow. We have proposed a yielding protocol to deal with this problem and evaluated it using a simulation that focused on traffic flow efficiency at an intersection. In the simulation, we have varied the number of vehicles coming into the roads and the percentage of self-driven vehicles and confirmed that the proposed yielding protocol could improve the traffic flow of vehicles on the low-priority road. Full article
(This article belongs to the Special Issue Advances in Internet of Vehicles (IoV))
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