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Vehicular Networks and Sustainability
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Vehicular Networks and Sustainability

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (20 December 2022) | Viewed by 35326

Special Issue Editors

Dr. G G Md Nawaz Ali

E-Mail Website
Guest Editor
Department of Applied Computer Science, University of Charleston, Charleston, WV 25304, USA
Interests: vehicular networks, V2X communication, vonnected and autonomous vehicle, broadcasting, network coding, and data analytics
Special Issues, Collections and Topics in MDPI journals
Dr. Md. Noor-A-Rahim

E-Mail Website
Guest Editor
School of Computer Science & IT, University College Cork, Ireland
Interests: control over wireless networks, intelligent transportation systems, industrial internet of things, DNA data storage, and machine learning
Dr. Mohammad Omar Khyam

E-Mail Website
Guest Editor
Electrical Engineering, Central Queensland University, Melbourne, VIC 3000, Australia
Interests: signal processing and wireless communication, sensor networks, sensor data fusion, machine and deep learning, intelligent systems, internet of things
Dr. Xuejun Li

E-Mail Website
Guest Editor
Department of Electrical and Electronic Engineering, Auckland University of Technology, Auckland 1010, New Zealand
Interests: wireless networking; wireless communications; networking protocols; radio frequency integrated circuits; wireless sensor networks; video streaming; system optimization; evolutionary computing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Early research shows that connected vehicle can save 75% of human errors in driving and reduce vehicle collisions and fatalities enormously. It also saves billions of dollars of economic losses by reducing traffic congestion time and amount of fuel consumption. The connectivity of the vehicle is achieved through vehicular networks in the forms of Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication. Vehicular networks is the emerging technology for the future Intelligent Transportation System (ITS). The inherent drawback of vehicular network is the intermittent connectivity due to the mobility of vehicle and the nature of lossy wireless communication (e.g., path loss, fading and shadowing). A sustainable or stable vehicular network is the key for the successful deployment of V2X (Vehicle-to-Everything) communication in the future CAV (Connected and Autonomous Vehicle).

For a stable vehicular networks there still need of researches in sustainable vehicular communication considering underlying constraints such as lossy wireless channel, obstructed communication channel (e.g., urban canyon, big vehicles etc.), intersection communication, dense traffic situation etc.  

This special issue covers the following relevant areas, but are not limited to:

  1. Sustainable Vehicular communication
  2. V2V, V2I and V2X communication
  3. Sustainable algorithm and routing protocol
  4. Sustainable data dissemination
  5. Sustainable vehicular clustering
  6. Safe driving and intelligent transportation
  7. MAC enhancement
  8. Path loss, fading and shadowing
  9. Sustainable channel modeling
  10. State estimation

Dr. G G Md Nawaz Ali
Dr. Md. Noor-A-Rahim
Dr. Mohammad Omar Khyam
Dr. Xuejun Li
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • vehicular networks
  • sustainability
  • V2X communication
  • sustainable vehicular network
  • wireless communication
  • connected and autonomous vehicle (CAV)

Published Papers (6 papers)

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Research

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19 pages, 984 KiB  
Article
Provably Secure with Efficient Data Sharing Scheme for Fifth-Generation (5G)-Enabled Vehicular Networks without Road-Side Unit (RSU)
by Mahmood A. Al-Shareeda, Selvakumar Manickam, Badiea Abdulkarem Mohammed, Zeyad Ghaleb Al-Mekhlafi, Amjad Qtaish, Abdullah J. Alzahrani, Gharbi Alshammari, Amer A. Sallam and Khalil Almekhlafi
Sustainability 2022, 14(16), 9961; https://0-doi-org.brum.beds.ac.uk/10.3390/su14169961 - 11 Aug 2022
Cited by 31 | Viewed by 1732
Abstract
The vehicles in the fifth-generation (5G)-enabled vehicular networks exchange the data about road conditions, since the message transmission rate and the downloading service rate have been considerably brighter. The data shared by vehicles are vulnerable to privacy and security issues. Notably, the existing [...] Read more.
The vehicles in the fifth-generation (5G)-enabled vehicular networks exchange the data about road conditions, since the message transmission rate and the downloading service rate have been considerably brighter. The data shared by vehicles are vulnerable to privacy and security issues. Notably, the existing schemes require expensive components, namely a road-side unit (RSU), to authenticate the messages for the joining process. To cope with these issues, this paper proposes a provably secure efficient data-sharing scheme without RSU for 5G-enabled vehicular networks. Our work included six phases, namely: TA initialization (TASetup) phase, pseudonym-identity generation (PIDGen) phase, key generation (KeyGen) phase, message signing (MsgSign) phase, single verification (SigVerify) phase, and batch signatures verification (BSigVerify) phase. The vehicle in our work has the ability to verify multiple signatures simultaneously. Our work not only achieves privacy and security requirements but also withstands various security attacks on the vehicular network. Ultimately, our work also evaluates favourable performance compared to other existing schemes with regards to costs of communication and computation. Full article
(This article belongs to the Special Issue Vehicular Networks and Sustainability)
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18 pages, 9581 KiB  
Article
Improving Air Quality in Urban Recreational Areas through Smart Traffic Management
by José D. Padrón, David Soler, Carlos T. Calafate, Juan-Carlos Cano and Pietro Manzoni
Sustainability 2022, 14(6), 3445; https://0-doi-org.brum.beds.ac.uk/10.3390/su14063445 - 15 Mar 2022
Cited by 3 | Viewed by 2377
Abstract
Green parks are the only natural places for recreation in many metropolitan areas, and the European Commission is seeking to improve their air quality and, consequently, citizens’ physical and mental health. One of the recently adopted approaches is to achieve pollution abatement in [...] Read more.
Green parks are the only natural places for recreation in many metropolitan areas, and the European Commission is seeking to improve their air quality and, consequently, citizens’ physical and mental health. One of the recently adopted approaches is to achieve pollution abatement in these green areas by reducing nearby traffic. In this paper, we analyze the impact of reducing the traffic in nearby streets to avoid pollution by proposing two different approaches. Our goal is to improve the pollution levels in Valencia’s most significant green areas by limiting vehicular traffic flow in nearby streets. To this end, we consider two alternative solutions—a more restrictive one and a less restrictive approach—in an attempt to achieve a tradeoff between emission control and congestion avoidance. Moreover, we show how our proposal can reroute traffic throughout the city without having traffic jam problems associated with the proposed approaches. In addition, we determine how the traffic flow data and the emissions in the city vary due to the traffic restrictions that we enforce. The experimental results show that it is possible to achieve improvements in terms of pollution with both of our restriction approaches; in particular, with the partial traffic isolation model, the pollution rates in the target area decreased by 17%, which we consider an excellent initial result for the applicability and effectiveness of these methods when an adequate traffic routing system is adopted. Full article
(This article belongs to the Special Issue Vehicular Networks and Sustainability)
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20 pages, 1272 KiB  
Article
A Performance Analysis of VANETs Propagation Models and Routing Protocols
by Lopamudra Hota, Biraja Prasad Nayak, Arun Kumar, Bibhudatta Sahoo and G. G. Md. Nawaz Ali
Sustainability 2022, 14(3), 1379; https://0-doi-org.brum.beds.ac.uk/10.3390/su14031379 - 26 Jan 2022
Cited by 18 | Viewed by 3485
Abstract
Vehicular Ad hoc Networks (VANETs) thrive on providing a communication channel between vehicles and infrastructures that facilitate efficient and safe Vehicle-to-Vehicle (V2V) as well as Vehicle-to-Infrastructure (V2I) communications. Reliable and efficient transmission amongst vehicles and Road Side Units (RSUs) is a prime concern [...] Read more.
Vehicular Ad hoc Networks (VANETs) thrive on providing a communication channel between vehicles and infrastructures that facilitate efficient and safe Vehicle-to-Vehicle (V2V) as well as Vehicle-to-Infrastructure (V2I) communications. Reliable and efficient transmission amongst vehicles and Road Side Units (RSUs) is a prime concern of Intelligent Transportation System (ITS). One of the primary challenges involved in vehicular communication is designing an efficient routing mechanism for data dissemination from node to node via a reliable route. The harsh vehicular environment with varied road conditions and obstacles in the signal propagation path induces another challenge. Therefore, this paper presents a comparative analysis of existing routing protocols with propagation models to assist researchers in gaining insight into the existing propagation model and routing protocols. The study also optimizes routing and propagation models for reliable packet dissemination. This work uses a realistic scenario from Open Street Map (OSM), and simulations are performed using SUMO. The trace files generated from SUMO are used for further simulation in NS-3. The simulation results are presented and studied in detail. The results show that the Two-Ray Ground and FRIIS propagation model outperforms the compared models, and the routing protocol OLSR outperforms AODV and DSDV. Full article
(This article belongs to the Special Issue Vehicular Networks and Sustainability)
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26 pages, 15035 KiB  
Article
A Neural Network-Based Sustainable Data Dissemination through Public Transportation for Smart Cities
by Rashmi Munjal, William Liu, Xue Jun Li and Jairo Gutierrez
Sustainability 2020, 12(24), 10327; https://0-doi-org.brum.beds.ac.uk/10.3390/su122410327 - 10 Dec 2020
Cited by 10 | Viewed by 2227
Abstract
In recent years, there has been a big data revolution in smart cities dues to multiple disciplines such as smart healthcare, smart transportation, and smart community. However, most services in these areas of smart cities have become data-driven, thus generating big data that [...] Read more.
In recent years, there has been a big data revolution in smart cities dues to multiple disciplines such as smart healthcare, smart transportation, and smart community. However, most services in these areas of smart cities have become data-driven, thus generating big data that require sharing, storing, processing, and analysis, which ultimately consumes massive amounts of energy. The accumulation process of these data from different areas of a smart city is a challenging issue. Therefore, researchers have started aiming at the Internet of vehicles (IoV), in which smart vehicles are equipped with computing and storage capabilities to communicate with surrounding infrastructure. In this paper, we propose a subcategory of IoV as the Internet of buses (IoB), where public buses enable a service as a data carrier in a smart city by introducing a neural network-based sustainable data dissemination system (NESUDA), where opportunistic sensing comprises delay-tolerant data collection, processing and disseminating from one place to another place around the city. The objective was to use public transport to carry data from one place to another and to reduce the traffic from traditional networks and energy consumption. An advanced neural network (NN) algorithm was applied to locate the realistic arrival time of public buses for data allocation. We used the Auckland transport (AT) buses data set from the transport agency to validate our model for the level of accuracy in predicted bus arrival time and scheduled arrival time to disseminate data using bus services. Data were uploaded onto buses as per their dwelling time at each stop and terminals within the coverage area of deployed RSU. The offloading capacity of our proposed data dissemination system showed that it could be utilized to effectively complement traditional data networks. Moreover, the maximum offloading capacity at each parent stop could reach up to 360 GB with a huge saving of energy consumption. Full article
(This article belongs to the Special Issue Vehicular Networks and Sustainability)
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Review

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17 pages, 1493 KiB  
Review
An Overview of Vehicular Cybersecurity for Intelligent Connected Vehicles
by Tian Guan, Yi Han, Nan Kang, Ningye Tang, Xu Chen and Shu Wang
Sustainability 2022, 14(9), 5211; https://0-doi-org.brum.beds.ac.uk/10.3390/su14095211 - 26 Apr 2022
Cited by 9 | Viewed by 4217
Abstract
Cybersecurity is one of the most important challenges in the intelligent connected vehicle system. Interconnected vehicles are vulnerable to different network security attacks, which endanger the safety of passengers. This review paper firstly analyses the reasons why the current vehicle network is vulnerable [...] Read more.
Cybersecurity is one of the most important challenges in the intelligent connected vehicle system. Interconnected vehicles are vulnerable to different network security attacks, which endanger the safety of passengers. This review paper firstly analyses the reasons why the current vehicle network is vulnerable to network attack and summarizes the three implementation methods of network security threats. The necessity of vehicle network security research and deployment is also analyzed. After giving a short introduction to the vehicular network security, this review paper identifies major security attacks on intelligent connected vehicles. Then the security enhancement technology of vehicle networks from three aspects are introduced, including vehicle network data encryption technology, vehicle network message authentication technology, and vehicle network anomaly intrusion detection technology. Then we analyze three common methods of abnormal intrusion detection in vehicle networks and explore the future research for preventing attacks on the network security of intelligent vehicle systems. Full article
(This article belongs to the Special Issue Vehicular Networks and Sustainability)
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24 pages, 612 KiB  
Review
The Role of 5G Technologies in a Smart City: The Case for Intelligent Transportation System
by Ali Gohar and Gianfranco Nencioni
Sustainability 2021, 13(9), 5188; https://0-doi-org.brum.beds.ac.uk/10.3390/su13095188 - 06 May 2021
Cited by 117 | Viewed by 20149
Abstract
A smart city is an urban area that collects data using various electronic methods and sensors. Smart cities rely on Information and Communication Technologies (ICT) and aim to improve the quality of services by managing public resources and focusing on comfort, maintenance, and [...] Read more.
A smart city is an urban area that collects data using various electronic methods and sensors. Smart cities rely on Information and Communication Technologies (ICT) and aim to improve the quality of services by managing public resources and focusing on comfort, maintenance, and sustainability. The fifth generation (5G) of wireless mobile communication enables a new kind of communication network to connect everyone and everything. 5G will profoundly impact economies and societies as it will provide the necessary communication infrastructure required by various smart city applications. Intelligent Transporting System (ITS) is one of the many smart city applications that can be realized via 5G technology. The paper aims to discuss the impact and implications of 5G on ITS from various dimensions. Before this, the paper presents an overview of the technological context and the economic benefits of the 5G and how key vertical industries will be affected in a smart city, i.e., energy, healthcare, manufacturing, entertainment, and automotive and public transport. Afterward, 5G for ITS is introduced in more detail. Full article
(This article belongs to the Special Issue Vehicular Networks and Sustainability)
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