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Journal articles on the topic 'Vehicle network'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Guan, Tian, Yi Han, Nan Kang, Ningye Tang, Xu Chen, and Shu Wang. "An Overview of Vehicular Cybersecurity for Intelligent Connected Vehicles." Sustainability 14, no. 9 (2022): 5211. http://dx.doi.org/10.3390/su14095211.

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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 securi

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Mishra, Risabh, M. Safa, and Aditya Anand. "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 7, no. 3.12 (2018): 545. http://dx.doi.org/10.14419/ijet.v7i3.12.16176.

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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 netwo

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Akwirry, Brian, Nik Bessis, Hassan Malik, and Sarah McHale. "A Multi-Tier Trust-Based Security Mechanism for Vehicular Ad-Hoc Network Communications." Sensors 22, no. 21 (2022): 8285. http://dx.doi.org/10.3390/s22218285.

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Securing communications in vehicle ad hoc networks is crucial for operations. Messages exchanged in vehicle ad hoc network communications hold critical information such as road safety information, or road accident information and it is essential these packets reach their intended destination without any modification. A significant concern for vehicle ad hoc network communications is that malicious vehicles can intercept or modify messages before reaching their intended destination. This can hamper vehicle ad hoc network operations and create safety concerns. The multi-tier trust management sys

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Shen, Yujie, Ziyao Zhu, Chenqi Di, and Xinyi Liu. "Linkage Selection Strategy Based on Attractor Profit Prediction in Heterogeneous Vehicle Network." Journal of Physics: Conference Series 2530, no. 1 (2023): 012010. http://dx.doi.org/10.1088/1742-6596/2530/1/012010.

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Abstract With the continuous development of wireless network technology, heterogeneous wireless networks with multiple network fusions and overlapping coverage have been formed. In the process of vehicles passing through different types of networks with different coverage areas at high speed, there are frequent and inefficient network switching behaviors. Aiming at this situation, a linkage selection strategy based on attractor profit prediction is proposed in a heterogeneous vehicle network. By analyzing the correlation between the wireless network transmission rate and the vehicle position,

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Mendadkar, Snehal, and Poornima Talwai. "Performance Evaluation of routing protocols with and without malicious nodes." ITM Web of Conferences 44 (2022): 03006. http://dx.doi.org/10.1051/itmconf/20224403006.

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Vehicular adhoc networks (VANETs) are made by applying the standards of mobile adhoc networks (MANETs)-the unconstrained making of a remote network of cell phones to the area of vehicles. VANETs were first referenced and presented in 2001 under ”vehicle to-vehicle specially appointed versatile correspondence and systems administration” applications, where networks can be shaped and data can be handed-off among vehicles. It was shown that vehicle-to- vehicle and vehicle-to-road side exchange designs will exist together in VANETs to give street security, route, and other side of the road adminis

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Niknamian, Sorush. "Data Fast Transmission Method in Wireless Vehicle Ad-hoc Network." Journal of Applied Science, Engineering, Technology, and Education 1, no. 2 (2019): 149–61. http://dx.doi.org/10.35877/454ri.asci1294.

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In vehicular ad hoc networks, the current method does not consider the delay of data transmission, resulting in slower vehicle data transmission speed. A vehicle data transmission method based on backbone network is proposed in this paper. Firstly, the characteristics of vehicle ad hoc network are analyzed. Based on the statistics of the road, the vehicle cluster is composed of the vehicles parking on the roadside and no roadside according to the different directions of the vehicle driving. The backbone network is constructed on the basis of the cluster of vehicles, and the data transmission b

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Tippannavar, Sanjay, Meghana N, and Yashwanth S D. "A Security Protocol for V2V Communication using NS2 Network Simulator." International Journal of Innovative Research in Advanced Engineering 10, no. 03 (2023): 49–57. http://dx.doi.org/10.26562/ijirae.2023.v1003.02.

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The principles of MANETs, or mobile ad hoc networks, form the foundation of vehicular ad hoc networks (VANETs). Vanet was first introduced as "Car to Vehicle ad hoc mobile communication and networking" in 2001. In order to build a communication network and transfer data among vehicles, Vanet were invented. Vanet uses a variety of means to establish communication, including vehicle-to-vehicle communication. In this project, both roadside-to-roadside and vehicle-to-roadside communications are employed, and vehicle-to-roadside communication is taken into consideration. A different term for VANETs

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Hadi Saleh, Hassan, and Saad Talib Hasoon. "A Survey on VANETs: Challenges and Solutions." International Journal of Engineering & Technology 7, no. 4.19 (2018): 711–19. http://dx.doi.org/10.14419/ijet.v7i4.19.27987.

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Vehicular Ad-hoc Network (VANET) is an advanced style and subcategory of a Mobile Ad hoc Network (MANET), the main objective of VANET's is to create an Intelligent Transport System (ITS), to reduce traffic congestion, accidents or assistance as gates to other networks such as the Internet. VANET is responsible for the communication between moving vehicles in a certain environment. A vehicle can communicate with another vehicle directly which is termed Vehicle to Vehicle (V2V) communication, or a vehicle can communicate to an infrastructure such as a Road Side Unit (RSU), identified as Vehicle-

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Hung, Shao-Chou, Xin Zhang, Andreas Festag, Kwang-Cheng Chen, and Gerhard Fettweis. "Vehicle-Centric Network Association in Heterogeneous Vehicle-to-Vehicle Networks." IEEE Transactions on Vehicular Technology 68, no. 6 (2019): 5981–96. http://dx.doi.org/10.1109/tvt.2019.2910324.

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Wang, Liu, Lijuan Shi, Jian Zhao, et al. "DV3-IBi_YOLOv5s: A Lightweight Backbone Network and Multiscale Neck Network Vehicle Detection Algorithm." Sensors 24, no. 12 (2024): 3791. http://dx.doi.org/10.3390/s24123791.

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Vehicle detection is a research direction in the field of target detection and is widely used in intelligent transportation, automatic driving, urban planning, and other fields. To balance the high-speed advantage of lightweight networks and the high-precision advantage of multiscale networks, a vehicle detection algorithm based on a lightweight backbone network and a multiscale neck network is proposed. The mobile NetV3 lightweight network based on deep separable convolution is used as the backbone network to improve the speed of vehicle detection. The icbam attention mechanism module is used

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Mansour, Ayman M. "Cooperative Multi-Agent Vehicle-to-Vehicle Wireless Network in a Noisy Environment." International Journal of Circuits, Systems and Signal Processing 15 (February 22, 2021): 135–48. http://dx.doi.org/10.46300/9106.2021.15.15.

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With the rapid development of vehicle communication and the goal of self-driving vehicle, research in this area is still ongoing, as car companies aspire for more studies and effective communication methods between vehicles. In this research, we have developed an intelligent, innovative and fully integrated multi agent model, which is used for vehicle-to-vehicle communications. The developed model is supported by an intelligent system based on a Nonlinear External Neural Network (NARX) and signal estimation theory. The system is built using real vehicles sensors, Arduino, GSM and RF technologi

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Ye, Shitong, Shaojiang Liu, and Feng Wang. "A Multiscenario Intelligent QoS Routing Algorithm for Vehicle Network." Computational Intelligence and Neuroscience 2022 (June 27, 2022): 1–9. http://dx.doi.org/10.1155/2022/3924013.

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Vehicular ad hoc network (VANET) is a key part of intelligent transportation system. VANET technology is very important for realizing vehicle-to-vehicle communication, remote control of unmanned vehicles, and early warning reception of road condition information ahead of time when external networks such as the Internet are limited. Aiming at the problems of uncertainty in vehicle mobility, uneven distribution of traffic density in road sections, and uncertainty in the road scene where the vehicle is located in VANET, a multiscenario intelligent QoS routing algorithm (MISR) for vehicle network

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Azita Laily Yusof, Izarul Fizry Jaafar, Norsuzila Ya’acob, Nur Syaza Zainali, and Aiman Zainali. "Handover Network Selection for Vehicle in LTE-A Communication Networks." Journal of Advanced Research in Applied Sciences and Engineering Technology 31, no. 1 (2023): 373–82. http://dx.doi.org/10.37934/araset.31.1.373382.

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One of the challenges to achieving smooth communications in heterogeneous networks is to find the right balance between various handover parameters for network selection. The Receive Signal Strength (RSS) from a network's Point of Attachment (PoA) is the primary factor used in traditional approaches to network selection. Therefore, network selection is vital for a successful handover in the vehicle communications network. However, vehicles moving through such diverse networks faced difficulties like frequent unwanted handovers, selecting the wrong candidate networks for handovers, and taking t

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Yang, Haixu, Jichao Hong, Lingjun Wei, Xun Gong, and Xiaoming Xu. "Collaborative Accurate Vehicle Positioning Based on Global Navigation Satellite System and Vehicle Network Communication." Electronics 11, no. 19 (2022): 3247. http://dx.doi.org/10.3390/electronics11193247.

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Intelligence is a direction of development for vehicles and transportation. Accurate vehicle positioning plays a vital role in intelligent driving and transportation. In the case of obstruction or too few satellites, the positioning capability of the Global navigation satellite system (GNSS) will be significantly reduced. To eliminate the effect of unlocalization due to missing GNSS signals, a collaborative multi-vehicle localization scheme based on GNSS and vehicle networks is proposed. The vehicle first estimates the location based on GNSS positioning information and then shares this informa

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Muhamad Yusuf and Ramdhani Syahputra. "Analisa Kinerja Protokol Routing Destination Sequenced Distance Vector Di Jaringan VANET." Jurnal Teknik Mesin, Industri, Elektro dan Informatika 3, no. 2 (2024): 121–33. http://dx.doi.org/10.55606/jtmei.v3i2.3786.

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Vehicular network is a network where vehicles communicate via an ad-hoc network system that runs based on certain ad-hoc routing protocols. A vehicle ad-hoc network consists of two communication parts known as vehicle-to-vehicle communication and vehicle-to-infrastructure communication. Even though the roads have become very congested with many vehicles, controlling vehicle movement has become an urgent need. Automatic traffic control, critical moment notifications, post-accident notifications, correct route selection become very important and these can be implemented using vehicle ad-hoc netw

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Wang, Yutong, Yujing Wu, Yihu Xu, Kaihang Zhang, and Yinan Xu. "Research on Network Intrusion Detection Based on Weighted Histogram Algorithm for In-Vehicle Ethernet." Sensors 25, no. 11 (2025): 3541. https://doi.org/10.3390/s25113541.

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The Internet of Vehicles plays a crucial role in advancing intelligent transportation systems, with In-Vehicle Ethernet serving as the fundamental backbone network of the new generation of in-vehicle communication. However, In-Vehicle Ethernet faces various network security threats, including data theft, data tampering, and malicious attacks. This study focuses on network intrusion and security issues in In-Vehicle Ethernet, by analyzing the data characteristics of Audio Video Transport Protocol and potential network attack means. We innovatively propose a network intrusion detection method ba

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Chen-Wei Feng, Chen-Wei Feng, Xian-Guo Lu Chen-Wei Feng, Yu Sun Xian-Guo Lu, Huang-Bin Zeng Yu Sun, and Zhuo Li Huang-Bin Zeng. "Vehicle Clustering and Resource Allocation Algorithm Based on Cellular Network." 電腦學刊 34, no. 3 (2023): 031–47. http://dx.doi.org/10.53106/199115992023063403003.

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<p>As a special Mobile Ad-hoc Network (MANET), Vehicular Ad-hoc Network (VANET) plays a very important role in the future intelligent transportation system. In order to solve the problems of unstable communication connection, fast network topology change and low communication resource utilization caused by high vehicle mobility in VANET, a low-complexity resource allocation algorithm based on vehicle cluster is proposed. Firstly, considering the speed, position and moving direction of the vehicles, a vehicle clustering algorithm based on movement consistency is proposed to cluster the ve

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Fadhil, Ali Muayed, Norashidah Md Din, Norazizah Binti Mohd Aripin, and Ali Ahmed Abed. "Advanced Privacy Scheme to Improve Road Safety in Smart Transportation Systems." International journal of Computer Networks & Communications 16, no. 2 (2024): 71–86. http://dx.doi.org/10.5121/ijcnc.2024.16205.

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In -Vehicle Ad-Hoc Network (VANET), vehicles continuously transmit and receive spatiotemporal data with neighboring vehicles, thereby establishing a comprehensive 360-degree traffic awareness system. Vehicular Network safety applications facilitate the transmission of messages between vehicles that are near each other, at regular intervals, enhancing drivers' contextual understanding of the driving environment and significantly improving traffic safety. Privacy schemes in VANETs are vital to safeguard vehicles’ identities and their associated owners or drivers. Privacy schemes prevent unauthor

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Ma, Jie, Lin Cheng, Dawei Li, and Qiang Tu. "Stochastic Electric Vehicle Network Considering Environmental Costs." Sustainability 10, no. 8 (2018): 2888. http://dx.doi.org/10.3390/su10082888.

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In recent years, many countries have published their timetables to promote electric vehicles. Many researches have focused on the benefits of electric vehicles. Compared with gas vehicles, electric vehicles are more suitable for modern cities, because they are considered to be environment-friendly by the public. Hence we pay attention to the environmental costs of electric vehicles. In this paper, an electric vehicle network is established. To analyze this electric vehicle network, we define environmental costs for the network and propose a stochastic user equilibrium model to describe drivers

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Tulsyan, Ansh, Anshul Bhardwaj, Pranjal Shukla, Piyush Gautam, and Tushar Singh. "Autonomous Vehicle Simulation." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–9. https://doi.org/10.55041/ijsrem40459.

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Autonomous vehicles represent a revolutionary advancement in transportation technology, relying heavily on sophisticated simulations for development and testing. This abstract presents an approach to autonomous vehicle simulation utilizing the Udacity Self-Driving Car Nanodegree platform coupled with Convolutional Neural Networks (CNNs) for perception tasks. The simulation environment provided by Udacity offers a realistic representation of urban driving scenarios, allowing developers to test and train autonomous vehicle algorithms in a virtual setting before deploying them on real-world roads

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Li, Qin, Bingguang Ou, Yifa Liang, Yong Wang, Xuan Yang, and Linchao Li. "TCN-SA: A Social Attention Network Based on Temporal Convolutional Network for Vehicle Trajectory Prediction." Journal of Advanced Transportation 2023 (December 9, 2023): 1–12. http://dx.doi.org/10.1155/2023/1286977.

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Vehicle trajectory prediction can provide important support for intelligent transportation systems in areas such as autonomous driving, traffic control, and traffic flow optimization. Predicting vehicle trajectories is an extremely challenging task that not only depends on the vehicle’s historical trajectory but also on the dynamic and complex social-temporal relationships of the surrounding traffic network. The trajectory of the target vehicle is influenced by surrounding vehicles. However, existing methods have shortcomings in considering both time dependency and interactive dependency betwe

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Zhang, Wang, Chunsheng Liu, Faliang Chang, and Ye Song. "Multi-Scale and Occlusion Aware Network for Vehicle Detection and Segmentation on UAV Aerial Images." Remote Sensing 12, no. 11 (2020): 1760. http://dx.doi.org/10.3390/rs12111760.

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With the advantage of high maneuverability, Unmanned Aerial Vehicles (UAVs) have been widely deployed in vehicle monitoring and controlling. However, processing the images captured by UAV for the extracting vehicle information is hindered by some challenges including arbitrary orientations, huge scale variations and partial occlusion. In seeking to address these challenges, we propose a novel Multi-Scale and Occlusion Aware Network (MSOA-Net) for UAV based vehicle segmentation, which consists of two parts including a Multi-Scale Feature Adaptive Fusion Network (MSFAF-Net) and a Regional Attent

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Kim, Dae-Young, Minwoo Jung, and Seokhoon Kim. "An Internet of Vehicles (IoV) Access Gateway Design Considering the Efficiency of the In-Vehicle Ethernet Backbone." Sensors 21, no. 1 (2020): 98. http://dx.doi.org/10.3390/s21010098.

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A vehicular network is composed of an in-vehicle network (IVN) and Internet of Vehicles (IoV). IVN exchanges information among in-vehicle devices. IoV constructs Vehicle-to-X (V2X) networks outside vehicles and exchanges information among V2X elements. These days, in-vehicle devices that require high bandwidth is increased for autonomous driving services. Thus, the spread of data for vehicles is exploding. This kind of data is exchanged through IoV. Even if the Ethernet backbone of IVN carries a lot of data in the vehicle, the explosive increase in data from outside the vehicle can affect the

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Wang, Xi Wei, Qi Dang, Jing Lin Guo, and Xue Song Tong. "Study on Electric Vehicles Social Network." Applied Mechanics and Materials 556-562 (May 2014): 5381–84. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.5381.

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This paper discussed the terminal application of vehicle networking and proposed software and hardware implementation of electric vehicles travel recorder. The structures and construction method were analyzed for electric vehicles networking. Finally, the scalable networked data processing architecture vehicle was made.

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Gupta, Sonali. "Performance Evaluation of Routing Protocols in Vehicular Ad-Hoc Networks (VANETs): A Comparative Study." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 11, no. 1 (2020): 847–56. http://dx.doi.org/10.17762/turcomat.v11i1.13567.

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VANET is a novel way for fast-moving autos to connect. VANET provided traffic engineering, management, emergency information to avoid accidents, and other user applications. VANETs are similar to Mobile Ad hoc Networks (MANETs), but they have fast speeds, mobility, adequate storage and processing power, unexpected node density, difficult communication environments with limited connection lifespans, etc. Hence, VANET protocol testing needs realism. Vehicular Ad hoc Network (VANET) is a new communication paradigm that allows road network V2V and V2I communication (V2I). It supports traffic engin

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Youcef, BOT, YOUSFI Abdelkader, and ALLALI Ahmed. "Smart Control of the Bidirectional Energy Exchange of Electric Vehicles With the Electrical Network." INTERNATIONAL JOURNAL OF ADVANCED STUDIES IN COMPUTER SCIENCE AND ENGINEERING (IJASCSE) Vol.11, No.12 (2022): 29–35. https://doi.org/10.5281/zenodo.7598791.

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<strong>INTERNATIONAL JOURNAL OF ADVANCED STUDIES IN COMPUTER SCIENCE AND ENGINEERING (IJASCSE)</strong> VOLUME 11 ISSUE 12, 2022 <em><strong>Abstract:</strong> The democratization of plug-in hybrid vehicles as well as purely electric vehicles implies a surplus of demand on the distribution networks. Vehicle-to-Grid aims to meet this increased demand by using vehicles no longer as simple loads for the electricity network but as players carrying out two-way energy exchanges. The work presented in this article proposes a real-time “Grid-to-Vehicle/Vehicle-to-Grid” control algori

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Sun, Chenxi, Danyang Li, Beilei Wang, and Jie Song. "AI-Enabled Consensus Algorithm in Human-Centric Collaborative Computing for Internet of Vehicle." Symmetry 15, no. 6 (2023): 1264. http://dx.doi.org/10.3390/sym15061264.

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With the enhanced interoperability of information among vehicles, the demand for collaborative sharing among vehicles increases. Based on blockchain, the classical consensus algorithms in collaborative IoV (Internet of Vehicle), such as PoW (Proof of Work), PoS (Proof of Stake), and DPoS (Delegated Proof of Stake), only consider the node features, which is hard to adapt to the immediacy and flexibility of vehicles. On the other hand, classical consensus algorithms often require mass computing, which undoubtedly increases the communication overhead, resulting in the inability to achieve collabo

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Li, Shuqing, Yujing Wu, Yihu Xu, Kaihang Zhang, and Yinan Xu. "FlexRay Static Segment Message Scheduling Based on Heterogeneous Scheduling Algorithm." Symmetry 17, no. 5 (2025): 696. https://doi.org/10.3390/sym17050696.

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With the development of intelligent connected vehicles, higher demands are being placed on the capabilities of in-vehicle bus networks. Compared to traditional in-vehicle bus networks like Local Interconnect Network (LIN) and Controller Area Network (CAN), the FlexRay bus offers advantages such as high real-time performance and high transmission rates, making it the core technology of the new generation of in-vehicle bus networks. This study focuses on the phenomenon of bandwidth resource waste in the FlexRay bus and innovatively proposes the FlexRay Static Segment Heterogeneous Scheduling Alg

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Hakimi, Arif, Kamaludin Mohamad Yusof, Muhammad Afizi Azizan, Muhamad Azam Asri Azman, and Shaik Mazhar Hussain. "A Survey on Internet of Vehicle (IoV): A pplications & Comparison of VANETs, IoV and SDN-IoV." ELEKTRIKA- Journal of Electrical Engineering 20, no. 3 (2021): 26–31. http://dx.doi.org/10.11113/elektrika.v20n3.291.

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   The swift evolution of communication network technologies brings the smart connected objects into existence. The objects or things are connected and able to communicate with each other through Internet of Things (IoT). Internet of Vehicle (IoV) are the subset of the IoT technologies that has been implemented to the vehicle. IoV is the evolution of traditional Vehicular Adhoc Networks (VANETs) bringing new technologies to the smart connected vehicles. IoV network communication is purposedly to serve a real time data exchanged on roads between the vehicles and roads, vehicle

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Khan, Abdullah Ayub, Asif Ali Laghari, Muhammad Shafiq, Shafique Ahmed Awan, and Zhaoquan Gu. "Vehicle to Everything (V2X) and Edge Computing: A Secure Lifecycle for UAV-Assisted Vehicle Network and Offloading with Blockchain." Drones 6, no. 12 (2022): 377. http://dx.doi.org/10.3390/drones6120377.

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Due to globalization and advances in network technology, the Internet of Vehicles (IoV) with edge computing has gained increasingly more attention over the last few years. The technology provides a new paradigm to design interconnected distributed nodes in Unmanned Aerial Vehicle (UAV)-assisted vehicle networks for communications between vehicles in smart cities. The process hierarchy of the current UAV-assisted networks is also becoming more multifaceted as more vehicles are connected, requiring accessing and exchanging information, performing tasks, and updating information securely. This po

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Chen, Jiaoyue, Qihui Zuo, Yihu Xu, Yujing Wu, Wenquan Jin, and Yinan Xu. "Study of Fixed Point Message Scheduling Algorithm for In-Vehicle Ethernet." Electronics 13, no. 11 (2024): 2050. http://dx.doi.org/10.3390/electronics13112050.

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With the rapid development of advanced driver assistance systems (ADASs) and autonomous driving technology, in-vehicle networks are facing huge challenges in real-time operation and data loss. Traditional vehicle bus network systems such as LIN, CAN, and FlexRay are insufficient to meet the real-time requirements of intelligent connected vehicles. In-vehicle Ethernet meets the requirements of high reliability, low electromagnetic radiation, low power consumption, bandwidth allocation, low latency, and real-time synchronization of intelligent connected vehicles. In-vehicle Ethernet has become o

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Kong, D. Y., and H. Y. Xu. "An Improved Car-Following Model in Vehicle Networking Based on Network Control." Mathematical Problems in Engineering 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/857965.

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Vehicle networking is a system to realize information interoperability between vehicles and people, vehicles and roads, vehicles and vehicles, and cars and transport facilities, through the network information exchange, in order to achieve the effective monitoring of the vehicle and traffic flow. Realizing information interoperability between vehicles and vehicles, which can affect the traffic flow, is an important application of network control system (NCS). In this paper, a car-following model using vehicle networking theory is established, based on network control principle. The car-followi

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Jiqing Gu, Chao Song, Siqi Liao, Hongwei Li, Ming Liu, and Jie Wu. "Generation rate control with AoI under traffic hole problem in vehicular networks." ITU Journal on Future and Evolving Technologies 3, no. 2 (2022): 47–58. http://dx.doi.org/10.52953/difr6805.

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In 6G mobile networks, vehicular networks will significantly benefit from extremely high network throughput and capacity. For Internet of Things (IoT) within a vehicular network, the sensor data as an update is delivered from each sensor source to a nearby gateway, by Vehicle-to-Vehicle (V2V) and Vehicle to Roadside unit (V2R) communications. The mobility of the vehicles is not only affected by the vehicle itself, but also by external means, such as the signal operations of traffic lights. The red light stops the vehicles at the intersection, which will increase the time it takes for updates c

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Zhang, Hongying, Xusheng Li, Huazhi Yuan, Huagang Liang, Yaru Wang, and Siyan Song. "A Multi-Angle Appearance-Based Approach for Vehicle Type and Brand Recognition Utilizing Faster Regional Convolution Neural Networks." Sensors 23, no. 23 (2023): 9569. http://dx.doi.org/10.3390/s23239569.

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Vehicle type and brand information constitute a crucial element in intelligent transportation systems (ITSs). While numerous appearance-based classification methods have studied frontal view images of vehicles, the challenge of multi-pose and multi-angle vehicle distribution has largely been overlooked. This paper proposes an appearance-based classification approach for multi-angle vehicle information recognition, addressing the aforementioned issues. By utilizing faster regional convolution neural networks, this method automatically captures crucial features for vehicle type and brand identif

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Raza, Ali, Syed Hashim Raza Bukhari, Farhan Aadil, and Zeshan Iqbal. "An UAV-assisted VANET architecture for intelligent transportation system in smart cities." International Journal of Distributed Sensor Networks 17, no. 7 (2021): 155014772110317. http://dx.doi.org/10.1177/15501477211031750.

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Vehicular ad hoc network is a pretty research vibrant area since last decade. It has been successfully used for intelligent transportation system and entertainment purposes for realization of smart cities. However, intermittent connectivity, high routing overhead, inflexible communication infrastructure, unscalable networks, and high packet collision are the key challenges that put hindrances on the wide applications of vehicular ad hoc network. The severity of these challenges become even more intensified when deployed in urban areas. To overcome these hurdles, integrating micro unmanned aeri

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Ran, Maoli, and Xiangyu Bai. "Vehicle Cooperative Network Model Based on Hypergraph in Vehicular Fog Computing." Sensors 20, no. 8 (2020): 2269. http://dx.doi.org/10.3390/s20082269.

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In this paper, we propose an optimization framework of vehicular fog computing and a cooperation vehicular network model. We aim to improve the performance of vehicular fog computing and solve the problem that the data of the vehicle collaborative network is difficult to obtain. This paper applies the hypergraph theory to study the underlying structure, considering the social characteristics of the vehicles and vehicle communication. Since the vehicles join the network in accordance with the Poisson process law, the model is analyzed by using Poisson stochastic process and mean field theory. T

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Murthy, M. V. H. Bhaskara. "A Modified Secure Protocol in V2V Network." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 6627–32. https://doi.org/10.22214/ijraset.2025.69927.

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Abstract: Vehicular Ad-Hoc Networks, or VANETs, are meant to facilitate communication and information exchange between cars. Another important method through which this is done is vehicle-to-vehicle (V2V) communication. We also utilize vehicleto-roadside (V2R) and roadside-to-roadside (R2R) communication in this project in order to form a stronger and more versatile network. VANETs are also known to be Intelligent Transportation Networks. Over time, the idea has developed into what is currently referred to as the "Internet of Vehicles" an expanding system that may someday become a significant

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Xie, Xiaoyun, Yahya Dorostkar Navaei, and Sajad Einy. "A Clustering-Based Routing Protocol Using Path Pattern Discovery Method to Minimize Delay in VANET." Wireless Communications and Mobile Computing 2023 (June 14, 2023): 1–18. http://dx.doi.org/10.1155/2023/3776815.

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In vehicular ad hoc networks (VANETs), vehicle-to-vehicle (V2V) communications can link vehicles to each other, and vehicle-to-infrastructure (V2I) messaging and communications can link roadside infrastructure such as routers. The vehicles in these networks act as relays that transmit critical messages in the network. Due to the high-speed movement of vehicles on the road, real-time messaging and minimizing the delay in sending messages is one of the most important objectives of VANET developers. On the other hand, the high mobility of vehicles causes communication interruptions and decreases

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Soldatov, Evgeny Sergeevich, and Alexey Sergeevich Soldatov. "Algorithms and protocols for data transfer in heterogeneous networks for monitoring the state of vehicles during the transportation of dangerous goods." Technology of technosphere safety 103 (2024): 178–88. https://doi.org/10.25257/tts.2024.1.103.178-188.

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Introduction. The article deals with the organization of information exchange between vehicles and the monitoring server during the transportation of dangerous goods in the absence of a stable wireless communication channel. The advantages of technical solutions based on the technology of DTN networks, tolerant to delays, are described. Aims and purposes. The aim of the study is to improve safety of the transportation of dangerous goods by various modes of transport by ensuring reliable information exchange in the networks of the vehicle condition monitoring system. The main objectives of the

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Ahmed, Shakeel, and N. V.K. Ramesh. "Performance evaluation of vanets using wireshark." International Journal of Engineering & Technology 7, no. 2.7 (2018): 88. http://dx.doi.org/10.14419/ijet.v7i2.7.10266.

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Vehicular Adhoc Networks (VANETs) have become a hot area of research and development since few years. It is actually a subclass of Mobile Adhoc Networks (MANETs) where each node is a vehicle and when the nodes come in the communication range of each other, they form a network. In VANETs, Vehicle to Vehicle(V2V) and Vehicle to Infrastructure(V2I) communication takes place where nodes themselves acts as servers and /or clients for sharing & exchanging of information. VANETs find applications in road safety also have the potential to improve traffic efficiency and convenience by communicating

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Kim, Wansoo, Jungho Lee, Yousik Lee, Yoenjin Kim, Jingyun Chung, and Samuel Woo. "Vehicular Multilevel Data Arrangement-Based Intrusion Detection System for In-Vehicle CAN." Security and Communication Networks 2022 (January 20, 2022): 1–11. http://dx.doi.org/10.1155/2022/4322148.

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Modern vehicles are equipped with various types of electrical/electronic (E/E) systems. Electronic control units (ECUs) are used to control various E/E systems in the vehicle. For efficient information exchange between ECUs, most vehicle manufacturers use the Controller Area Network (CAN) protocol. However, CAN has security vulnerabilities because it does not have an authentication or encryption method. Since attacks on in-vehicle networks affect the safety of drivers, it is essential to develop a technology to prevent attacks. The intrusion detection system (IDS) is one of the best ways to en

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Sinthuja, S., and S. V. Saravanan. "Vehicle-2-Vehicle Communication Based on Wireless Sensor Network." Bulletin of Electrical Engineering and Informatics 6, no. 4 (2017): 364–66. http://dx.doi.org/10.11591/eei.v6i4.868.

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Truck Platooning is a car innovation that permits gathering various trucks into a single element where one truck intently takes after the other that outcomes in an expanded street limit. This kind of detachment allows to a significant degree tight separations and synchronous driving between the vehicles. Our point is to plan and exhibit a self-ruling truck platooning framework given vehicle-to-vehicle (V2V) correspondence innovation. The structure utilises IEEE 802.15.4 remote convention joined with separation going sensors to enable vehicles inside the company to safely trade data progressive

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S., Sinthuja, and Saravanan S.V. "Vehicle-2-Vehicle Communication Based on Wireless Sensor Network." Bulletin of Electrical Engineering and Informatics 6, no. 4 (2017): 364–66. https://doi.org/10.11591/eei.v6i4.868.

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Truck Platooning is a car innovation that permits gathering various trucks into a single element where one truck intently takes after the other that outcome in an expanded street limit. This kind of detachment allows to a significant degree tight separations and synchronous driving between the vehicles. Our point is to plan and exhibit a self-ruling truck platooning framework given vehicle-to-vehicle (V2V) correspondence innovation. The structure utilises IEEE 802.15.4 remote convention joined with separation going sensors to enable vehicles inside the company to safely trade data progressivel

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Kaur, Sukhpreet, and Er Sharad. "Multicasting technique for path establishment in vehicular ad hoc networks." International Journal of Engineering & Technology 7, no. 2.4 (2018): 204. http://dx.doi.org/10.14419/ijet.v7i2.4.13040.

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The vehicular adhoc network is the decentralized type of network in which vehicles can move from one location to another. In the network two type of communication is possible which are vehicle to vehicle and vehicle to infrastructure. In the vehicle to vehicle type of path establishment is the major issue of the network. In this research work, multicasting routing technique is proposed for the path establishment from source to destination. The proposed technique is implemented in NS2 and simulation results shows improvement in network delay for path establishment

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Abdul Razak, Siti Fatimah, Ku Yee Fang, Noor Hisham Kamis, Anang Hudaya Muhammad Amin, and Sumendra Yogarayan. "Simulation of Vehicular Bots-Based DDoS Attacks in Connected Vehicles Networks." HighTech and Innovation Journal 4, no. 4 (2023): 854–69. http://dx.doi.org/10.28991/hij-2023-04-04-014.

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Connected vehicles are more vulnerable to attacks than wired networks since they involve rapid mobility, continuous data flow across connected nodes, and dynamic network design in a distributed network environment. Distributed Denial of Service (DDOS) is one of the most common and dangerous security attacks on connected vehicle networks. Attackers can remotely control malicious nodes that are programmed to attack other nodes known. The compromised nodes are known as botnets, which will constantly flood the target nodes with User Datagram Protocol (UDP) packets, disrupting the target nodes data

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TRIVEDI, Janak, Mandalapu Sarada DEVI, and Dave DHARA. "VEHICLE CLASSIFICATION USING THE CONVOLUTION NEURAL NETWORK APPROACH." Scientific Journal of Silesian University of Technology. Series Transport 112 (September 1, 2021): 201–9. http://dx.doi.org/10.20858/sjsutst.2021.112.7.16.

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We present vehicle detection classification using the Convolution Neural Network (CNN) of the deep learning approach. The automatic vehicle classification for traffic surveillance video systems is challenging for the Intelligent Transportation System (ITS) to build a smart city. In this article, three different vehicles: bike, car and truck classification are considered for around 3,000 bikes, 6,000 cars, and 2,000 images of trucks. CNN can automatically absorb and extract different vehicle dataset’s different features without a manual selection of features. The accuracy of CNN is measured in

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Lian, Jiawei, Dahan Wang, Shunzhi Zhu, Yun Wu, and Caixia Li. "Transformer-Based Attention Network for Vehicle Re-Identification." Electronics 11, no. 7 (2022): 1016. http://dx.doi.org/10.3390/electronics11071016.

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Vehicle re-identification (ReID) focuses on searching for images of the same vehicle across different cameras and can be considered as the most fine-grained ID-level classification task. It is fundamentally challenging due to the significant differences in appearance presented by a vehicle with the same ID (especially from different viewpoints) coupled with the subtle differences between vehicles with different IDs. Spatial attention mechanisms that have been proven to be effective in computer vision tasks also play an important role in vehicle ReID. However, they often require expensive key-p

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Houari, Abdeslam, and Tomader Mazri. "Improving V2X-6G network capacity using a new UAV-based approach in a Cloud/ICN architecture, case Study: VANET network." E3S Web of Conferences 297 (2021): 01019. http://dx.doi.org/10.1051/e3sconf/202129701019.

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6G of mobile networks plays a crucial role in improving the capacity and enhancing the quality of services of Vehicle-to-Everything (V2X) based networks evolving in an intelligent environment. VANET is a promising project in the intelligent transportation field using V2X communications. The emergence of several 5G and 6G technologies has raised several challenges for scientists and researchers to allow vehicles and road users to enjoy several services while ensuring their safety on the road. Among these technologies, the unmanned aerial vehicle (UAV), which can perform different tasks for road

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Storck, Carlos, and Fátima Duarte-Figueiredo. "A 5G V2X Ecosystem Providing Internet of Vehicles." Sensors 19, no. 3 (2019): 550. http://dx.doi.org/10.3390/s19030550.

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The Fifth Generation (5G) cellular network can be considered the way to the ubiquitous Internet and pervasive paradigm.The Internet of Vehicles (IoV) uses the network infrastructure to allow cars to be connected to new radio technologies, and can be supported by 5G networks. In this way, the Vehicle-to-Everything (V2X) integration needs 5G connections unavoidably. This paper presents a 5G V2X ecosystem to provide IoV. The proposed ecosystem is based on the Software-Defined Networking (SDN) concept. Considering vehicles as entertainment consumer points, the network infrastructure must be huge e

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Yu, Chun Yan, Ming Hui Wu, and Xiao Sheng He. "Vehicle Swarm Motion Coordination through Independent Local-Reactive Agents." Advanced Materials Research 108-111 (May 2010): 619–24. http://dx.doi.org/10.4028/www.scientific.net/amr.108-111.619.

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Vehicle swarm refers to a group of autonomous vehicles. Vehicle swarm motion coordination is a difficult problem in Intelligent Transport System. Due to similar characteristics of reactive agents and autonomous vehicles relying on self-organization principles, this paper presents reactive agent driven motion coordination for vehicle swarm that adopts large-scale independent local-reactive agents to perform a self-organized motion coordination control mechanism, which is composed of a network of swarm collaborative agents, a set of dynamic hybrid local networks of individual swarm collaborative

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