Recent Developments and Research in Vehicular Ad Hoc Networks (VANETs)

A special issue of World Electric Vehicle Journal (ISSN 2032-6653).

Deadline for manuscript submissions: 31 December 2024 | Viewed by 4837

Special Issue Editors


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Guest Editor
Facultad de Informática Mazatlán, Universidad Autónoma de Sinaloa, Mazatlán 82140, Mexico
Interests: VANETs (vehicular ad hoc networks); the design of routing protocols for vehicular networks; smart cities

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Guest Editor
Departamento de Electrónica, Telecomunicaciones y Redes de Información, Escuela Politécnica Nacional, Ladrón de Guevara E11-253, Quito 170517, Ecuador
Interests: wireless networks; cross-layering protocols design; mathematical modeling; optimization of large-scale telecommunication problems

E-Mail Website
Guest Editor
Facultad de Informática Mazatlán, Universidad Autónoma de Sinaloa, Mazatlán 82140, Mexico
Interests: requirements engineering; software modeling; model-driven development; web engineering; software defined networks; IoT requirements; engineering modeling

Special Issue Information

Dear Colleagues,

This Special Issue, titled “Recent Developments and Research in Vehicular Ad Hoc Networks”, aims to explore the advancements, challenges, and emerging trends in integrating vehicle electrics on vehicular ad hoc networks (VANETs). This Special Issue invites original research papers, review articles, and case studies that investigate the latest developments and significant contributions in the design, analysis, and applications of VANETs with a specific emphasis on vehicle electrics. The scope of this Issue encompasses various aspects related to VANETs and vehicle electrics, including but not limited to:

  • Communication protocols and architectures for efficient information exchange between electric vehicles and charging stations;
  • Integration of EV charging infrastructure into VANETs to optimize charging operations and facilitate intelligent energy management;
  • Wireless power transfer and inductive charging technologies for electric vehicles in VANET environments;
  • Energy-efficient communication protocols and routing strategies for electric vehicles in VANETs;
  • Intelligent battery management techniques to optimize the energy consumption and prolong the battery life of electric vehicles;
  • Cooperative energy sharing and resource allocation mechanisms among electric vehicles in VANETs;
  • Integration of VANETs with smart grid systems to support V2G communication and enable bidirectional power flow;
  • Demand response mechanisms and energy management strategies for electric vehicles in VANET-enabled smart grid environments;
  • V2G communication protocols and architectures for the efficient exchange of energy-related information;
  • Safety-critical communication protocols and algorithms for electric vehicles in VANETs;
  • Real-time monitoring and fault detection techniques to ensure the safety and reliability of electric vehicle operations in VANET environments;
  • Cooperative collision avoidance and emergency response mechanisms for electric vehicles;
  • Standardization efforts and regulatory aspects of integrating vehicle electrics with VANETs;
  • Policy frameworks and guidelines for the deployment and operation of electric vehicles in VANET environments;
  • Economic and environmental impacts of VANET-enabled electric vehicle systems.

This Special Issue welcomes contributions from researchers, academicians, and industry professionals working at the intersection of VANETs and vehicle electrics. Submissions should present novel ideas, methodologies, or empirical findings that significantly contribute to understanding and advancing VANETs in the context of vehicle electrics. Authors must provide practical insights, theoretical frameworks, and experimental validations to support their research contributions.

Dr. Carolina Tripp-Barba
Dr. Luis Urquiza
Dr. José Alfonso Aguilar Calderón
Guest Editors

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Keywords

  • VANET
  • smart cities
  • vehicles electrics
  • routing protocols
  • mobility
  • dissemination
  • charging stations
  • intelligent energy management
  • environmental impacts
  • V2G
  • EV charging infrastructure

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Published Papers (3 papers)

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Research

20 pages, 5667 KiB  
Article
Optimized Feature Selection for DDoS Attack Recognition and Mitigation in SD-VANETs
by Usman Tariq
World Electr. Veh. J. 2024, 15(9), 395; https://doi.org/10.3390/wevj15090395 - 28 Aug 2024
Viewed by 1308
Abstract
Vehicular Ad-Hoc Networks (VANETs) are pivotal to the advancement of intelligent transportation systems (ITS), enhancing safety and efficiency on the road through secure communication networks. However, the integrity of these systems is severely threatened by Distributed Denial-of-Service (DDoS) attacks, which can disrupt the [...] Read more.
Vehicular Ad-Hoc Networks (VANETs) are pivotal to the advancement of intelligent transportation systems (ITS), enhancing safety and efficiency on the road through secure communication networks. However, the integrity of these systems is severely threatened by Distributed Denial-of-Service (DDoS) attacks, which can disrupt the transmission of safety-critical messages and put lives at risk. This research paper focuses on developing robust detection methods and countermeasures to mitigate the impact of DDoS attacks in VANETs. Utilizing a combination of statistical analysis and machine learning techniques (i.e., Autoencoder with Long Short-Term Memory (LSTM), and Clustering with Classification), the study introduces innovative approaches for real-time anomaly detection and system resilience enhancement. Emulation results confirm the effectiveness of the proposed methods in identifying and countering DDoS threats, significantly improving (i.e., 94 percent anomaly detection rate) the security posture of a high mobility-aware ad hoc network. This research not only contributes to the ongoing efforts to secure VANETs against DDoS attacks but also lays the groundwork for more resilient intelligent transportation systems architectures. Full article
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23 pages, 1560 KiB  
Article
Improvement of the Cybersecurity of the Satellite Internet of Vehicles through the Application of an Authentication Protocol Based on a Modular Error-Correction Code
by Igor Anatolyevich Kalmykov, Aleksandr Anatolyevich Olenev, Natalya Vladimirovna Kononova, Tatyana Aleksandrovna Peleshenko, Daniil Vyacheslavovich Dukhovnyj, Nikita Konstantinovich Chistousov and Natalya Igorevna Kalmykova
World Electr. Veh. J. 2024, 15(7), 278; https://doi.org/10.3390/wevj15070278 - 21 Jun 2024
Viewed by 1185
Abstract
The integration of the Internet of Vehicles (IoV) and low-orbit satellite Internet not only increases the efficiency of traffic management but also contributes to the emergence of new cyberattacks. Spoofing interference occupies a special place among them. To prevent a rogue satellite from [...] Read more.
The integration of the Internet of Vehicles (IoV) and low-orbit satellite Internet not only increases the efficiency of traffic management but also contributes to the emergence of new cyberattacks. Spoofing interference occupies a special place among them. To prevent a rogue satellite from imposing unauthorized content on vehicle owners, a zero-knowledge authentication protocol (ZKAP) based on a modular polyalphabetic polynomial code (MPPC) was developed. The use of MPPC allowed for increasing the authentication speed of the satellite performing the role of RSU. As a result, a reduction in the time needed to guess the prover’s signal also reduces the probability of granting a rogue satellite the communication session and increases the imitation resistance of the satellite IoV. At the same time, the MPPC allows for improving the noise resistance of the ZKAP. An algorithm for calculating the control residuals for a noise-resistant MPPC was developed for this purpose, as well as an algorithm for correcting errors arising in the communication channel due to interference. Thus, the developed authentication protocol based on a noise-resistant modular code allows for simultaneously reducing the probabilities of the first-order and second-order errors, which leads to the increased cybersecurity of satellite IoV. Full article
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22 pages, 2873 KiB  
Article
PLUG: A City-Friendly Navigation Model for Electric Vehicles with Power Load Balancing upon the Grid
by Ahmad Nahar Quttoum, Ayoub Alsarhan, Mohammad Aljaidi and Mohammed Alshammari
World Electr. Veh. J. 2023, 14(12), 338; https://doi.org/10.3390/wevj14120338 - 6 Dec 2023
Cited by 2 | Viewed by 1664
Abstract
Worldwide, in many cities, electric vehicles (EVs) have started to spread as a green alternative in transportation. Several well-known automakers have announced their plans to switch to all-electric engines very soon, although for EV drivers, battery range is still a significant concern—especially when [...] Read more.
Worldwide, in many cities, electric vehicles (EVs) have started to spread as a green alternative in transportation. Several well-known automakers have announced their plans to switch to all-electric engines very soon, although for EV drivers, battery range is still a significant concern—especially when driving on long-distance trips and driving EVs with limited battery ranges. Cities have made plans to serve this new form of transportation by providing adequate coverage of EV charging stations in the same way as traditional fuel ones. However, such plans may take a while to be fully deployed and provide the required coverage as appropriate. In addition to the coverage of charging stations, cities need to consider the potential loads over their power grids not only to serve EVs but also to avoid any shortages that may affect existing clients at their various locations. This may take a decade or so. Consequently, in this work, we propose a novel city-friendly navigation model that is oriented to serve EVs in particular. The methodology of this model involves reading real-time power loads at the grid’s transformer nodes and accordingly choosing the routes for EVs to their destinations. Our methodology follows a real-time pricing model to prioritize routes that pass through less-loaded city zones. The model is developed to be self-aware and adaptive to dynamic price changes, and hence, it nominates the shortest least-loaded routes in an automatic and autonomous way. Moreover, the drivers have further routing preferences that are modeled by a preference function with multiple weight variables that vary according to a route’s distance, cost, time, and services. Different from other models in the literature, this is the first work to address the dynamic loads of the electricity grids among various city zones for load-balanced EV routing in an automatic way. This allows for the easy integration of EVs through a city-friendly and anxiety-free navigation model. Full article
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