Journal articles: 'Vehicular communication'

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Farkas, K. I., J. Heidemann, L. Iftode, T. Kosch, M. Strassberger, K. Laberteaux, L. Caminiti, D. Caveney, and H. Hada. "Vehicular Communication." IEEE Pervasive Computing 5, no. 4 (October 2006): 55–62. http://dx.doi.org/10.1109/mprv.2006.90.

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Saraereh, Omar A., Ashraf Ali, Imran Khan, and Khaled Rabie. "Interference Analysis for Vehicle-to-Vehicle Communications at 28 GHz." Electronics 9, no. 2 (February 5, 2020): 262. http://dx.doi.org/10.3390/electronics9020262.

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High capacity and ultra-reliable vehicular communication are going to be important aspects of beyond 5G communication networks. However, the vehicular communication problem becomes complex at a large scale when vehicles are roaming on the road, while simultaneously communicating with each other. Moreover, at higher frequencies (like 28 GHz), the dynamics of vehicular communication completely shift towards unpredictability and low-reliability. These factors may result in high packet error and a large amount of interference, resulting in regular disruptions in communications. A thorough understanding of performance variations is the key to moving towards the next generation of vehicular networks. With this intent, this article aims to provide a comprehensive interference analysis, wherein the closed-form expressions of packet error probability (PEP) and ergodic capacity are derived. Using the expression of the PEP, diversity analysis is provided which unveils the impact of channel nonlinearities on the performance of interference-constrained vehicular networks. The insights provided here are expected to pave the way for reliable and high capacity vehicular communication networks.

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Stanaitis, Šarūnas. "INTERVEHICLE COMMUNICATION RESEARCH – COMMUNICATION SCENARIOS." Mokslas - Lietuvos ateitis 2, no. 1 (February 28, 2010): 77–80. http://dx.doi.org/10.3846/mla.2010.017.

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Recently intervehicle communications are attracting much attention from industry and academia. Upcoming standard for intervehicle communication IEEE 802.11p, known as Wireless Access in Vehicular Environments (WAVE), is still in its draft stage, but already coming into final standardization phase. Problematic, regarding mobile WAVE nodes, are described in several articles, simulations prepared and experiments done. But most of these works do not consider possible maximal communication load. This paper presents intervehicle communication scenario in respect to radio communications, mobility and other aspects of vehicular environments.

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KURAMOTO, Minoru. "Vehicular Communication Service." Journal of the Society of Mechanical Engineers 93, no. 858 (1990): 415–19. http://dx.doi.org/10.1299/jsmemag.93.858_415.

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Uzair, Muhammad. "Vehicular Wireless Communication Standards." International journal of electrical and computer engineering systems 13, no. 5 (July 15, 2022): 379–97. http://dx.doi.org/10.32985/ijeces.13.5.6.

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Autonomous vehicles (AVs) are the future of mobility. Safe and reliable AVs are required for widespread adoption by a community which is only possible if these AVs can communicate with each other & with other entities in a highly efficient way. AVs require ultra-reliable communications for safety-critical applications to ensure safe driving. Existing vehicular communication standards, i.e., IEEE 802.11p (DSRC), ITS-G5, & LTE, etc., do not meet the requirements of high throughput, ultra-high reliability, and ultra-low latency along with other issues. To address these challenges, IEEE 802.11bd & 5G NR-V2X standards provide more efficient and reliable communication, however, these standards are in the developing stage. Existing literature generally discusses the features of these standards only and does not discuss the drawbacks. Similarly, existing literature does not discuss the comparison between these standards or discusses a comparison between any two standards only. However, this work comprehensively describes different issues/challenges faced by these standards. This work also comprehensively provides a comparison among these standards along with their salient features. The work also describes spectrum management issues comprehensively, i.e., interoperability issues, co-existence with Wi-Fi, etc. The work also describes different other issues comprehensively along with recommendations. The work describes that 802.11bd and 5G NR are the two potential future standards for efficient vehicle communications; however, these standards must be able to provide backward compatibility, interoperability, and co-existence with current and previous standards.

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Patel, Krishna. "Vehicular communication: Technology Advances and Market Analysis." International Journal for Research in Applied Science and Engineering Technology 9, no. 9 (September 30, 2021): 2001–16. http://dx.doi.org/10.22214/ijraset.2021.38311.

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Abstract: The strong and healthy wireless network of the vehicular communication is needed to enable the detailed system and semiconductor demand analysis. The report presents the automotive wireless communication such as V2V (Vehicle to Vehicle communication), V2X (Vehicle to Everything communication). It explains the formation and working of these automotive wireless protocols and the technology involved in vehicular communication like On-Board, LTE-V and VANETS. Wireless communications will give driver sixth sense what is going around them to help avoid accidents and improve traffic flow. This report also describes the DSRC (Dedicated Short-Range Communication) and also the involvement of 5G in these vehicular communication network. Besides, the road for a successful presentation of vehicular communication we likewise examined the investigation of potential security threats and the structure of a robust security engineering. The analysis carried in this report is to look at and evaluate the most important frameworks, applications, and its market demand that will recognize the future road infrastructures utilized by vehicles. Moreover, we have introduced future research issues of this technology and its scope for the future generation. The principle of this study is to investigate the running project in vehicular communication and make our road and surrounding safer from traffic and accidents. Keywords: Vehicular communication, V2V, V2X, LTE-V, VANETS, Security system, Applications, Market Demand

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P P, Neethu, and Siddharth Shelly. "Inter intra vehicular communication." International Journal on Cybernetics & Informatics 5, no. 2 (April 30, 2016): 339–47. http://dx.doi.org/10.5121/ijci.2016.5236.

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Guerrero-Ibáñez, J. A., and J. Contreras-Castillo. "Vehicular Communication Network Environments." International Journal of Vehicular Telematics and Infotainment Systems 1, no. 2 (July 2017): 24–45. http://dx.doi.org/10.4018/ijvtis.2017070103.

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Modern society is facing serious problems with the transportation systems given the increase in traffic jams, accidents, fatalities and CO2 emissions. Thus, improving the safety and efficiency of transportation systems is imperative. Developing a sustainable transportation system requires a better usage of the existing infrastructure, the adoption of emerging technologies (e.g. embedded devices, sensors and short-range radio transmitters) and the development of applications capable of operating in wireless and spontaneous networks. In this paper, the authors give readers a global vision of the challenges and issues related to the development of applications for vehicular ad-hoc networks (VANET). It also presents a classification of applications and an overview of the top-level application domain. In addition, it investigates the importance of information in vehicular networks and analyses the requirements for different types of vehicular applications placing them in a table which summarized the findings. Finally, the communication schemes that underpin the operation of VANET applications as well as the security threats they are exposed to are studied.

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Bhoi, Sourav Kumar, and Pabitra Mohan Khilar. "Vehicular communication: a survey." IET Networks 3, no. 3 (September 2014): 204–17. http://dx.doi.org/10.1049/iet-net.2013.0065.

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Mohanan, Vasuky, and Rahmat Budiarto. "Wireless Communication Technologies for Vehicular Nodes." International Journal of Mobile Computing and Multimedia Communications 5, no. 2 (April 2013): 58–77. http://dx.doi.org/10.4018/jmcmc.2013040105.

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In many countries, road accidents are a leading cause of death as well as being financially draining to the authorities concerned. This problem can be alleviated by having a mechanism to enable exchange of safety related messages to road users in a timely manner. This has given rise to active research in identifying the best technology. Providing comfort and smooth driving experience is also propelling the need to support vehicular communication. These groups of applications present opposing paradigms whereby safety related messages must be exchanged in real-time and characterized by short bursts of traffic and satisfying these diverse criteria are challenging for wireless communications that is the backbone of vehicular communication. Additionally, vehicular nodes sometimes move at high speeds, presenting an added dimension to the complexities surrounding vehicular communication. This article attempts to show the many myriad wireless technologies that have been tossed about as the solution. Choosing the most suitable candidate has to take into account many aspects. This article guides stakeholders such as transport policy decision makers, vehicle makers, and spectrum allocator, to enable them to make a wise and informed decision regarding the right mechanism to use to support vehicular communication.

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Al-Qaraghuli, Mohammed, Saadaldeen Ahmed, and Muhammad Ilyas. "Encrypted Vehicular Communication Using Wireless Controller Area Network." 3D SCEEER Conference sceeer, no. 3d (July 1, 2019): 17–24. http://dx.doi.org/10.37917/ijeee.sceeer.3rd.3.

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In this paper, we focus on ensuring encrypted vehicular communication using wireless controller area network performance at high node densities, by means of Dedicated Short-Range Communication (DSRC) algorithms. We analyses the effect of the vehicular communication parameters, message-rate, data-rate, transmission power and carrier sensing threshold, on the application performance. After a state-of-the-art analysis, we propose a data-rate DSRC algorithm. Simulation studies show that DSRC performs better than other decentralized vehicular communication algorithms for a wide range of application requirements and densities. Vehicular communication plays one of the most important roles for future autonomous vehicle. We have systematically investigated the impact of vehicular communication using the MATLAB© application platform and achieved an accuracy of 93.74% after encrypting all the communications between the vehicles and securing them by applying the encryption on V2V communication in comparison with the existing system of Sensor Networks which stands at 92.97%. The transmission time for the encryption is 165 seconds while the rate of encryption is as low as 120 Mbps for the proposed awareness range of vehicles to vehicle using DSRC algorithm in Wireless-Controller Area Network for communication. Experimental results show that our proposed method performs 3% better than the recently developed algorithms.

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Choi, Junsung, and Seungyoung Ahn. "A 5.9 GHz Channel Characterization at Railroad Crossings for Train-to-Infrastructure (T2I) Communications." Electronics 12, no. 11 (May 25, 2023): 2400. http://dx.doi.org/10.3390/electronics12112400.

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Intelligent transport systems (ITSs) rely on wireless communications that provide many services to ground and aerial vehicles. We believe that vehicular communication protocols can evolve the train communication systems into the next generation. However, we found that channel models in train track environments at the 5.9 GHz frequency band are scarcer than in vehicular environments. Therefore, we conduct channel measurements at the 5.86–5.91 GHz ITS band at various railroad crossings in the United States. This allows us to extract the channel parameters and evaluate the propagation channel characteristics. The evaluations show a certain similarity between the train track channel characteristics and the vehicular communications channel characteristics. The railroad channel with an omnidirectional antenna is similar to a suburban environment in the vehicular channel, and with a bidirectional antenna, it is similar to a highway LoS environment in the vehicular channel. However, more importantly, the population of the surrounding buildings and the size of the LoS window can highly affect the RF propagation characteristics.

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Ahn, Sanghyun, and Jonghwa Choi. "Internet of Vehicles and Cost-Effective Traffic Signal Control." Sensors 19, no. 6 (March 13, 2019): 1275. http://dx.doi.org/10.3390/s19061275.

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The Internet of Vehicles (IoV) is attracting many researchers with the emergence of autonomous or smart vehicles. Vehicles on the road are becoming smart objects equipped with lots of sensors and powerful computing and communication capabilities. In the IoV environment, the efficiency of road transportation can be enhanced with the help of cost-effective traffic signal control. Traffic signal controllers control traffic lights based on the number of vehicles waiting for the green light (in short, vehicle queue length). So far, the utilization of video cameras or sensors has been extensively studied as the intelligent means of the vehicle queue length estimation. However, it has the deficiencies like high computing overhead, high installation and maintenance cost, high susceptibility to the surrounding environment, etc. Therefore, in this paper, we propose the vehicular communication-based approach for intelligent traffic signal control in a cost-effective way with low computing overhead and high resilience to environmental obstacles. In the vehicular communication-based approach, traffic signals are efficiently controlled at no extra cost by using the pre-equipped vehicular communication capabilities of IoV. Vehicular communications allow vehicles to send messages to traffic signal controllers (i.e., vehicle-to-infrastructure (V2I) communications) so that they can estimate vehicle queue length based on the collected messages. In our previous work, we have proposed a mechanism that can accomplish the efficiency of vehicular communications without losing the accuracy of traffic signal control. This mechanism gives transmission preference to the vehicles farther away from the traffic signal controller, so that the other vehicles closer to the stop line give up transmissions. In this paper, we propose a new mechanism enhancing the previous mechanism by selecting the vehicles performing V2I communications based on the concept of road sectorization. In the mechanism, only the vehicles within specific areas, called sectors, perform V2I communications to reduce the message transmission overhead. For the performance comparison of our mechanisms, we carry out simulations by using the Veins vehicular network simulation framework and measure the message transmission overhead and the accuracy of the estimated vehicle queue length. Simulation results verify that our vehicular communication-based approach significantly reduces the message transmission overhead without losing the accuracy of the vehicle queue length estimation.

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Merzougui, Salah Eddine, Xhulio Limani, Andreas Gavrielides, Claudio Enrico Palazzi, and Johann Marquez-Barja. "Leveraging 5G Technology to Investigate Energy Consumption and CPU Load at the Edge in Vehicular Networks." World Electric Vehicle Journal 15, no. 4 (April 19, 2024): 171. http://dx.doi.org/10.3390/wevj15040171.

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The convergence of vehicular communications, 5th generation mobile network (5G) technology, and edge computing marks a paradigm shift in intelligent transportation. Vehicular communication systems, including Vehicle-to-Vehicle and Vehicle-to-Infrastructure, are integral to Intelligent Transportation Systems. The advent of 5G enhances connectivity, while edge computing brings computational processes closer to data sources. This synergy holds the potential to revolutionize transportation efficiency and safety. This research investigates vehicular communication and edge computing dynamics within a 5G network, considering varying distances between On Board Units and Roadside Units. Energy consumption patterns and CPU load at the RSU are analyzed through meticulous real-world experiments and simulations. Our results show stable energy consumption at shorter distances, with fluctuations increasing at greater ranges. CPU load correlates with communication distance, highlighting the need for adaptive algorithms. While experiments exhibit higher variability, our simulations validate these findings, emphasizing the importance of considering transmission range in vehicular communication network design.

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Begum, Shaeista, Nagaraj B. Patil, and Vishwanath P. "An Optimal Route Discovery using Biogeography based Optimization for Vehicular Ad Hoc Networks." International journal of Computer Networks & Communications 13, no. 1 (January 31, 2021): 19–32. http://dx.doi.org/10.5121/ijcnc.2021.13102.

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Vehicular ad hoc network (VANET) is a subdivision of the mobile ad hoc networks which uses the moving vehicles as mobile nodes to form the mobile network. In conventional vehicular communications, the restricted radio frequency bandwidth affects the network performances. Therefore, Visible Light Communication (VLC) is integrated with the growing vehicular ad hoc network to obtain high data rate and less energy consumption during the communication. In this paper, vehicular communication is integrated with visible light communication to avoid the issues caused by the restricted radio frequency bandwidth. Moreover, the Routing using Biogeography Based Optimization (RBBO) is proposed to develop an optimal route between the source vehicles to the destination. This research performs two different communications such as vehicle to vehicle and vehicle to the infrastructure. The performance of the RBBOVLC-VANET method is analyzed by means of throughput, packet delivery ratio, delay and routing overhead as well as these performances are compared with the existing method namely ant colony optimization based routing protocol. The throughput of the routing using the biogeography based optimization method is 589.763 kbps for 500 nodes which is high when compared to the existing method.

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Ding, Fei, Xiaojun Sun, Xiaojin Ding, Ruoyu Su, Dengyin Zhang, and Hongbo Zhu. "Security-aware dual-hop communication for amplify-and-forward relay networks." International Journal of Distributed Sensor Networks 15, no. 9 (September 2019): 155014771987807. http://dx.doi.org/10.1177/1550147719878079.

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The authentication scheme for vehicular ad hoc networks aims to improve the security and integrity of message delivery. The base station manages a large number of vehicular nodes, so the security communications are non-trivial. In this article, we propose an amplify-and-forward strategy for a dual-hop cooperative network in order to improve secure communications for vehicular ad hoc networks. We assume that each vehicular node equipped with a single antenna and derive closed-form expressions for the secure communication rate calculation. Moreover, we propose a cooperative strategy by jointly considering average power scaling and instantaneous power scaling, which are proved to be able to achieve information security. The simulation result shows that the proposed scheme can achieve better performance in scenarios with different signal-to-noise ratio.

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Sanguesa, Julio A., Fernando Naranjo, Vicente Torres-Sanz, Manuel Fogue, Piedad Garrido, and Francisco J. Martinez. "On the Study of Vehicle Density in Intelligent Transportation Systems." Mobile Information Systems 2016 (2016): 1–13. http://dx.doi.org/10.1155/2016/8320756.

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Vehicular ad hoc networks (VANETs) are wireless communication networks which support cooperative driving among vehicles on the road. The specific characteristics of VANETs favor the development of attractive and challenging services and applications which rely on message exchanging among vehicles. These communication capabilities depend directly on the existence of nearby vehicles able to exchange information. Therefore, higher vehicle densities favor the communication among vehicles. However, vehicular communications are also strongly affected by the topology of the map (i.e., wireless signal could be attenuated due to the distance between the sender and receiver, and obstacles usually block signal transmission). In this paper, we study the influence of the roadmap topology and the number of vehicles when accounting for the vehicular communications capabilities, especially in urban scenarios. Additionally, we consider the use of two parameters: the SJ Ratio (SJR) and the Total Distance (TD), as the topology-related factors that better correlate with communications performance. Finally, we propose the use of a new density metric based on the number of vehicles, the complexity of the roadmap, and its maximum capacity. Hence, researchers will be able to accurately characterize the different urban scenarios and better validate their proposals related to cooperative Intelligent Transportation Systems based on vehicular communications.

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Khalid, Ihtisham, Vasilis Maglogiannis, Dries Naudts, Adnan Shahid, and Ingrid Moerman. "Optimizing Hybrid V2X Communication: An Intelligent Technology Selection Algorithm Using 5G, C-V2X PC5 and DSRC." Future Internet 16, no. 4 (March 23, 2024): 107. http://dx.doi.org/10.3390/fi16040107.

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Cooperative communications advancements in Vehicular-to-Everything (V2X) are bolstering the autonomous driving paradigm. V2X nodes are connected through communication technology, such as a short-range communication mode (Dedicated Short Range Communication (DSRC) and Cellular-V2X) or a long-range communication mode (Uu). Conventional vehicular networks employ static wireless vehicular communication technology without considering the traffic load on any individual V2X communication technology and the traffic dynamics in the vicinity of the V2X node, and are hence inefficient. In this study, we investigate hybrid V2X communication and propose an autonomous and intelligent technology selection algorithm using a decision tree. The algorithm uses the information from the received Cooperative Intelligent Transport Systems (C-ITS) Cooperative Awareness Messages (CAMs) to collect statistics such as inter vehicular distance, one-way end-to-end latency and CAM density. These statistics are then used as input for the decision tree for selecting the appropriate technology (DSRC, C-V2X PC5 or 5G) for the subsequent scheduled C-ITS message transmission. The assessment of the intelligent hybrid V2X algorithm’s performance in our V2X test setup demonstrates enhancements in one-way end-to-end latency, reliability, and packet delivery rate when contrasted with the conventional utilization of static technology.

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Tahir, Muhammad Naeem, Kari Mäenpää, and Timo Sukuvaara. "Performace Evaluation of Vehicular Communication." Transport and Telecommunication Journal 21, no. 3 (June 1, 2020): 171–80. http://dx.doi.org/10.2478/ttj-2020-0013.

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AbstractModern societies are built on good road infra-structure and efficient transport system. Safety is a high-priority consideration in development of road traffic systems. In recent years the weather information has become becomes very vital for road traffic safety because slippery roads are the key source of road accidents in northern regions of Europe, America and Canada as well. In this article we are presenting the test experiences and pilot road weather related services by executing a set of Vehicle to Infrastructure (V2I) communication scenarios by using IEEE 802.11p and 5G test networks. We have made an effort to evaluate the performance of IEEE 802.11p and 3GPP (3rd Generation Partnership Project) 5G test network. We also analyzed the performance of IEEE 802.11p with and without safety feature for secure and reliable vehicular communication. The combination of IEEE 802.11p with 5G test network cellular network makes the traffic system heterogeneous for traffic safety. This heterogeneous system provides the opportunity to exploit the vehicle-based actuators, sensor, and observation data in order to produce the intelligent service platform and up-to-date real time services for vehicles.In this article we have also made a comparison by using an IEEE 802.11p system having safety feature of SafeCOP (Safe Co-operating Cyber-Physical Systems using Wireless Communication) project. SafeCOP is a European project that aims cyber-physical systems-of-systems relying on wireless communication for safe and secure cooperation. This safety feature will help to decrease the amount of road accidents (Car crashes, injuries and fatalities) by offering safe and secure V2V and V2I co-operation. The fundamental advantage of this kind of performance analysis is that the communication between Vehicle-to-Road Weather station (V2RWS) can be exchanged safely and reliably, at the cost of network resources consumed by a safety feature in IEEE 802.11p. It’s clearly presented in this paper, that the use of heterogeneous network and SafeCOP feature for vehicular networking has a clear potential in near future for vehicle’s safety and security of vehicular network.

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Mumtaz, Shahid, Kazi Mohammed Saidul Huq, Muhammad Ikram Ashraf, Jonathan Rodriguez, Valdemar Monteiro, and Christos Politis. "Cognitive vehicular communication for 5G." IEEE Communications Magazine 53, no. 7 (July 2015): 109–17. http://dx.doi.org/10.1109/mcom.2015.7158273.

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Reichardt, Lars, Juan Pontes, Werner Wiesbeck, and Thomas Zwick. "Virtual Drives in Vehicular Communication." IEEE Vehicular Technology Magazine 6, no. 2 (June 2011): 54–62. http://dx.doi.org/10.1109/mvt.2011.940802.

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Hasan, Syed Faraz. "Vehicular Communication and Sensor Networks." IEEE Potentials 32, no. 4 (July 2013): 30–33. http://dx.doi.org/10.1109/mpot.2012.2225172.

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Mumtaz, Shahid, Josep Miquel Jornet, Jocelyn Aulin, Wolfgang H. Gerstacker, Xiaodai Dong, and Bo Ai. "Terahertz Communication for Vehicular Networks." IEEE Transactions on Vehicular Technology 66, no. 7 (July 2017): 5617–25. http://dx.doi.org/10.1109/tvt.2017.2712878.

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Aza, Andrea, David Melendi, Roberto García, Xabiel G. Pañeda, Laura Pozueco, and Víctor Corcoba. "Bluetooth 5 performance analysis for inter-vehicular communications." Wireless Networks 28, no. 1 (November 16, 2021): 137–59. http://dx.doi.org/10.1007/s11276-021-02830-9.

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AbstractPrevious work has demonstrated the feasibility of Bluetooth Low Energy (BLE) as an alternative technology for data transfers in inter-vehicular communication (IVC) scenarios. Bluetooth 5.x core specifications enhance the trade-off between energy requirements, communication range and flexibility. In this paper, we aim to analyse the potential of Bluetooth 5 features for VANET applications, proposing a connectionless communication system. By means of field experiments, we evaluate long range and 2 × speed features, defining a set of communication scenarios. This allows us to test both Bluetooth 5.x range and application throughput. The evaluation includes experiments of V2I communications carried out under real highway traffic conditions. The experiments conducted demonstrate that communication ranges up to 300 m may be achieved depending on the communications scenario. The results also show how throughput degrades as the distance between devices increases. The results obtained are used to discuss future work, aimed at deeper analysing Bluetooth 5 features for VANET applications, completing the development of our prototype and evaluating VANET connectionless communications with the features included in the latest Bluetooth 5.2 specification.

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Naudts, Dries, Vasilis Maglogiannis, Seilendria Hadiwardoyo, Daniel van den Akker, Simon Vanneste, Siegfried Mercelis, Peter Hellinckx, Bart Lannoo, Johann Marquez-Barja, and Ingrid Moerman. "Vehicular Communication Management Framework: A Flexible Hybrid Connectivity Platform for CCAM Services." Future Internet 13, no. 3 (March 22, 2021): 81. http://dx.doi.org/10.3390/fi13030081.

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In the upcoming decade and beyond, the Cooperative, Connected and Automated Mobility (CCAM) initiative will play a huge role in increasing road safety, traffic efficiency and comfort of driving in Europe. While several individual vehicular wireless communication technologies exist, there is still a lack of real flexible and modular platforms that can support the need for hybrid communication. In this paper, we propose a novel vehicular communication management framework (CAMINO), which incorporates flexible support for both short-range direct and long-range cellular technologies and offers built-in Cooperative Intelligent Transport Systems’ (C-ITS) services for experimental validation in real-life settings. Moreover, integration with vehicle and infrastructure sensors/actuators and external services is enabled using a Distributed Uniform Streaming (DUST) framework. The framework is implemented and evaluated in the Smart Highway test site for two targeted use cases, proofing the functional operation in realistic environments. The flexibility and the modular architecture of the hybrid CAMINO framework offers valuable research potential in the field of vehicular communications and CCAM services and can enable cross-technology vehicular connectivity.

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Kosmanos, Dimitrios, Nikolas Prodromou, Antonios Argyriou, Leandros A. Maglaras, and Helge Janicke. "MIMO Techniques for Jamming Threat Suppression in Vehicular Networks." Mobile Information Systems 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/8141204.

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Vehicular ad hoc networks have emerged as a promising field of research and development, since they will be able to accommodate a variety of applications, ranging from infotainment to traffic management and road safety. A specific security-related concern that vehicular ad hoc networks face is how to keep communication alive in the presence of radio frequency jamming, especially during emergency situations. Multiple Input Multiple Output techniques are proven to be able to improve some crucial parameters of vehicular communications such as communication range and throughput. In this article, we investigate how Multiple Input Multiple Output techniques can be used in vehicular ad hoc networks as active defense mechanisms in order to avoid jamming threats. For this reason, a variation of spatial multiplexing is proposed, namely, vSP4, which achieves not only high throughput but also a stable diversity gain upon the interference of a malicious jammer.

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Khasawneh, Ahmad M., Mamoun Abu Helou, Aanchal Khatri, Geetika Aggarwal, Omprakash Kaiwartya, Maryam Altalhi, Waheeb Abu-ulbeh, and Rabah AlShboul. "Service-Centric Heterogeneous Vehicular Network Modeling for Connected Traffic Environments." Sensors 22, no. 3 (February 7, 2022): 1247. http://dx.doi.org/10.3390/s22031247.

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Heterogeneous vehicular communication on the Internet of connected vehicle (IoV) environment is an emerging research theme toward achieving smart transportation. It is an evolution of the existing vehicular ad hoc network architecture due to the increasingly heterogeneous nature of the various existing networks in road traffic environments that need to be integrated. The existing literature on vehicular communication is lacking in the area of network optimization for heterogeneous network environments. In this context, this paper proposes a heterogeneous network model for IoV and service-oriented network optimization. The network model focuses on three key networking entities: vehicular cloud, heterogeneous communication, and smart use cases as clients. Most traffic-related data–oriented computations are performed at cloud servers for making intelligent decisions. The connection component enables handoff-centric network communication in heterogeneous vehicular environments. The use-case-oriented smart traffic services are implemented as clients for the network model. The model is tested for various service-oriented metrics in heterogeneous vehicular communication environments with the aim of affirming several service benefits. Future challenges and issues in heterogeneous IoV environments are also highlighted.

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Gui, Jinsong, Yao Liu, Xiaoheng Deng, and Bin Liu. "Network Capacity Optimization for Cellular-Assisted Vehicular Systems by Online Learning-Based mmWave Beam Selection." Wireless Communications and Mobile Computing 2021 (March 20, 2021): 1–26. http://dx.doi.org/10.1155/2021/8876186.

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Directional communication is helpful to improve the performance of millimeter Wave (mmWave) links. However, the dynamic nature of vehicular scenarios raises the complexity of directional mmWave vehicular communications. Also, a mmWave link is susceptible to blockages. Therefore, a mmWave vehicular communication system requires high environmental adaptability and context-awareness. Due to inadequate context information and insufficient beam settings in the existing related algorithm, it is difficult to pick out the set of beams with more reasonable widths and directions, which hinders the further promotion of network capacity in vehicular networks. Therefore, we propose an improved fast machine learning (IFML) algorithm to overcome this shortcoming. In order to improve network capacity while suppressing the additional beam search overhead, a partitioned search method is designed in the IFML. Also, in order to be robust to occasional fluctuations and timely adapt to significant changes in communication environments, the IFML adopts a flexible beam performance update approach based on adjustable weight coefficient. The simulation results show that the IFML significantly outperforms the existing related algorithm in terms of aggregate received data after a certain number of online learning time periods.

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Chen, Yanzi, Lei Ma, Xinjian Ou, and Jingjing Liao. "Vehicular Channel Characterization in Urban Environment at 30 GHz considering Overtaking and Traffic Flow." Wireless Communications and Mobile Computing 2021 (December 13, 2021): 1–11. http://dx.doi.org/10.1155/2021/2566153.

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To realize reliable and stable millimeter-wave (mmWave) vehicular wireless communication, the research of vehicular channel characteristics in the dense urban environment is becoming increasingly important. A comprehensive research on the channel characteristics for 30 GHz vehicular communication in the Beijing Central Business District (CBD) scenario is conducted in this paper. The self-developed high-performance ray-tracing (RT) simulator is employed to support intensive simulations. Based on simulation results, the effects of multiantenna and beam switching on the key channel parameters are analyzed, as well as the impact of different traffic flows. The results can provide theoretical and data support for the evaluation of vehicular channel characteristics and will help for the design of the vehicular communication system enabling future intelligent transportation.

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Thanh Chi Phan and Prabhdeep Singh. "A Recent Connected Vehicle - IoT Automotive Application Based on Communication Technology." International Journal of Data Informatics and Intelligent Computing 2, no. 4 (December 26, 2023): 40–51. http://dx.doi.org/10.59461/ijdiic.v2i4.88.

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Realizing the full potential of vehicle communications depends in large part on the infrastructure of vehicular networks. As more cars are connected to the Internet and one another, new technological advancements are being driven by a multidisciplinary approach. As transportation networks become more complicated, academic, and automotive researchers collaborate to offer their thoughts and answers. They also imagine various applications to enhance mobility and the driving experience. Due to the requirement for low latency, faster throughput, and increased reliability, wireless access technologies and an appropriate (potentially dedicated) infrastructure present substantial hurdles to communication systems. This article provides a comprehensive overview of the wireless access technologies, deployment, and connected car infrastructures that enable vehicular connectivity. The challenges, issues, services, and maintenance of connected vehicles that rely on infrastructure-based vehicular communications are also identified in this paper.

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Khan, Usman Ali, and Sang Sun Lee. "Multi-Layer Problems and Solutions in VANETs: A Review." Electronics 8, no. 2 (February 11, 2019): 204. http://dx.doi.org/10.3390/electronics8020204.

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The Dedicated Short Range Communication (DSRC) technology supports the vehicular communications through Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) Communication, by operating at 5.9 GHz band (U.S. Standard). The Physical (PHY) and Medium Access Control (MAC) Layer are defined by the IEEE 802.11p, while the IEEE 1609 family of standards define the Wireless Access in Vehicular Environment (WAVE); a suite of communication and security standards in the Vehicular Area Networks (VANETs). There has been a lot of research regarding several challenges in VANETs, from spectrum utilization to multichannel operation and from routing to security issues. The aim of all is to improve the performance of the network and support scalability in VANETs; which is defined as the ability of the network to handle the addition of vehicles (nodes) without suffering noticeable degradation of performance or administrative overhead. In this paper, we aim to highlight multilayer challenges concerning the performance of the VANETs, the already proposed solutions, and the possible future work.

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Baek, Minjin, Jungwi Mun, Woojoong Kim, Dongho Choi, Janghyuk Yim, and Sangsun Lee. "Driving Environment Perception Based on the Fusion of Vehicular Wireless Communications and Automotive Remote Sensors." Sensors 21, no. 5 (March 7, 2021): 1860. http://dx.doi.org/10.3390/s21051860.

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Driving environment perception for automated vehicles is typically achieved by the use of automotive remote sensors such as radars and cameras. A vehicular wireless communication system can be viewed as a new type of remote sensor that plays a central role in connected and automated vehicles (CAVs), which are capable of sharing information with each other and also with the surrounding infrastructure. In this paper, we present the design and implementation of driving environment perception based on the fusion of vehicular wireless communications and automotive remote sensors. A track-to-track fusion of high-level sensor data and vehicular wireless communication data was performed to accurately and reliably locate the remote target in the vehicle surroundings and predict the future trajectory. The proposed approach was implemented and evaluated in vehicle tests conducted at a proving ground. The experimental results demonstrate that using vehicular wireless communications in conjunction with the on-board sensors enables improved perception of the surrounding vehicle located at varying longitudinal and lateral distances. The results also indicate that vehicle future trajectory and potential crash involvement can be reliably predicted with the proposed system in different cut-in driving scenarios.

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Saez, Y., X. Cao, L. B. Kish, and G. Pesti. "Securing Vehicle Communication Systems by the KLJN Key Exchange Protocol." Fluctuation and Noise Letters 13, no. 03 (July 20, 2014): 1450020. http://dx.doi.org/10.1142/s0219477514500205.

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We review the security requirements for vehicular communication networks and provide a critical assessment of some typical communication security solutions. We also propose a novel unconditionally secure vehicular communication architecture that utilizes the Kirchhoff-law–Johnson-noise (KLJN) key distribution scheme.

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34

Hoe Lee, Chun, Renee Ka Yin Chin, Kiam Beng Yeo, and Kenneth Tze Kin Teo. "SUMO ENHANCEMENT FOR VEHICULAR COMMUNICATION DEVELOPMENT." ICTACT Journal on Communication Technology 8, no. 4 (December 1, 2017): 1625–32. http://dx.doi.org/10.21917/ijct.2017.0239.

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Thakur, Rashmi. "Inter Vehicular Communication Using Li-Fi." International Journal for Research in Applied Science and Engineering Technology 6, no. 1 (January 31, 2018): 1210–12. http://dx.doi.org/10.22214/ijraset.2018.1183.

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Tseng, Yung-Lan. "LTE-Advanced enhancement for vehicular communication." IEEE Wireless Communications 22, no. 6 (December 2015): 4–7. http://dx.doi.org/10.1109/mwc.2015.7368815.

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37

Ahmed, Zaheer, Habibullah Jamal, Shoab Khan, Rizwana Mehboob, and Asrar Ashraf. "Cognitive communication device for vehicular networking." IEEE Transactions on Consumer Electronics 55, no. 2 (May 2009): 371–75. http://dx.doi.org/10.1109/tce.2009.5174396.

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SAITO, H. "Performance Analysis of Combined Vehicular Communication." IEICE Transactions on Communications E89-B, no. 5 (May 1, 2006): 1486–94. http://dx.doi.org/10.1093/ietcom/e89-b.5.1486.

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Pham, Tung Lam, Md Shahjalal, Van Bui, and Yeong Min Jang. "Deep Learning for Optical Vehicular Communication." IEEE Access 8 (2020): 102691–708. http://dx.doi.org/10.1109/access.2020.2998944.

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P Vaity, Nayana, Surekha Janrao, and Randeep Kaur. "Efficient communication approach in Vehicular PKI." International Journal of Engineering Trends and Technology 18, no. 5 (December 25, 2014): 215–20. http://dx.doi.org/10.14445/22315381/ijett-v18p244.

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Li, Xiaotong, Ruiting Zhou, Ying-Jun Angela Zhang, Lei Jiao, and Zongpeng Li. "Smart vehicular communication via 5G mmWaves." Computer Networks 172 (May 2020): 107173. http://dx.doi.org/10.1016/j.comnet.2020.107173.

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Zhang, Ning, Ning Lu, Tao Han, Yi Zhou, and Dajiang Chen. "Emerging Technologies for Vehicular Communication Networks." Wireless Communications and Mobile Computing 2018 (October 22, 2018): 1–2. http://dx.doi.org/10.1155/2018/2938121.

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Sheng, Xuemin, Nicholas F. Maxemchuk, and Lin Cai. "Special Section on Vehicular Communication Networks." IEEE Transactions on Vehicular Technology 56, no. 6 (November 2007): 3241–43. http://dx.doi.org/10.1109/tvt.2007.907275.

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Shokry, Sara, Osama Abdelfattah, and Gamal Mabrouk. "VIRTUAL MIMO FOR VEHICULAR COMMUNICATION SYSTEMS." Journal of Al-Azhar University Engineering Sector 17, no. 65 (October 1, 2022): 1348–61. http://dx.doi.org/10.21608/auej.2022.266220.

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Cho, Woong. "A multi-hop Communication Scheme in Vehicular Communication Systems." Journal of the Institute of Webcasting, Internet and Telecommunication 12, no. 6 (December 31, 2012): 111–16. http://dx.doi.org/10.7236/jiwit.2012.12.6.111.

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Vieira, Manuel A., Manuela Vieira, Paula Louro, and Pedro Vieira. "Cooperative vehicular communication systems based on visible light communication." Optical Engineering 57, no. 07 (July 6, 2018): 1. http://dx.doi.org/10.1117/1.oe.57.7.076101.

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Vieira, M. A., M. Vieira, P. Louro, P. Vieira, and A. Fantoni. "Vehicular Visible Light Communication for Intersection Management." Signals 4, no. 2 (June 16, 2023): 457–77. http://dx.doi.org/10.3390/signals4020024.

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An innovative treatment for congested urban road networks is the split intersection. Here, a congested two-way–two-way traffic light-controlled intersection is transformed into two lighter intersections. By reducing conflict points and improving travel time, it facilitates smoother flow with less driver delay. We propose a visible light communication system based on Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I) and Infrastructure-to-Vehicle (I2V) communications able to safely manage vehicles crossing through an intersection, leveraging Edge of Things (EoT) facilities. Headlights, street lamps, and traffic signals are used by connected vehicles to communicate with one another and with infrastructure. Through internally installed Driver Agents, an Intersection Manager coordinates traffic flow and interacts with vehicles. For the safe passage of vehicles across intersections, request/response mechanisms and time and space relative pose concepts are used. A virtual scenario is proposed, and a “mesh/cellular” hybrid architecture used. Light signals are emitted by transmitters by encoding, modulating, and converting data. Optical sensors with light-filtering properties are used as receivers and decoders. The VLC request/response concept uplink and downlink communication between the infrastructure and the vehicles is tested. Based on the results, the short-range mesh network provides a secure communication path between street lamp controllers and edge computers through neighbor traffic light controllers that have active cellular connections, as well as peer-to-peer communication, allowing V-VLC ready cars to exchange information.

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Fan, Na, Shuai Shen, Chase Q. Wu, and Junfeng Yao. "A hybrid trust model based on communication and social trust for vehicular social networks." International Journal of Distributed Sensor Networks 18, no. 5 (May 2022): 155013292210975. http://dx.doi.org/10.1177/15501329221097588.

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Vehicular social networks are emerging hybrid networks that combine traditional vehicular networks and social networks, with two key types of nodes, that is, vehicles and drivers. Since vehicle behaviors are controlled or influenced by drivers, the trustworthiness of a vehicle node is essentially determined by its own communication behaviors and its driver’s social characteristics. Therefore, human factors should be considered in securing the communication in vehicular social networks. In this article, we propose a hybrid trust model that considers both communication trust and social trust. Within the proposed scheme, we first construct a communication trust model to quantify the trust value based on the interactions between vehicle nodes, and then develop a social trust model to measure the social trust based on the social characteristics of vehicle drivers. Based on these two trust models, we compute the combined trust assessment of a vehicle node in vehicular social networks. Extensive simulations show that the proposed hybrid trust model improves the accuracy in evaluating the trustworthiness of vehicle nodes and the efficiency of communication in vehicular social networks.

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Kim, Wooseong, and Eun-Kyu Lee. "LTE Network Enhancement for Vehicular Safety Communication." Mobile Information Systems 2017 (2017): 1–18. http://dx.doi.org/10.1155/2017/8923782.

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Direct vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications have been popularly considered for safe driving of manned or unmanned vehicles. The V2I communication is better than the V2V communication for propagating safety messages at critical regions like intersections where the safety messages must be delivered to surround vehicles with low latency and loss, since transmitters as infrastructure can have line of sight to the receiver vehicles and control wireless medium access in a centralized manner unlike V2V. Long-Term Evolution (LTE) cellular networks are rapidly deployed in the world with explosively increasing mobile traffic. As many automobile manufacturers choose LTE on-board devices for telematics, the LTE system can be utilized also for safety purposes instead of 802.11p/WAVE based roadside units (RSUs). Previous literatures have studied mostly current LTE system analysis in aspect of theoretical network capacity and end-to-end delay to investigate feasibility of V2I communication. In this paper, we propose new enhancement of a current LTE system specified by 3rd-Generation Partnership Project (3GPP) LTE standards while addressing major delay challenges. From simulation, we confirm that our three key solutions can reduce end-to-end delay effectively in the LTE system to satisfy requirements of safety message delivery.

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Rahim, Abdul, and Dr V. A. Sankar Ponnapalli. "Geographic information-based Data Transmission and Cooperative Communication for Vehicular Networks." International Journal of Intelligent Communication, Computing and Networks 1, no. 1 (August 25, 2020): 27–34. http://dx.doi.org/10.51735/ijiccn/001/05.

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With the advancements in Vehicular communication technologies in automobile engineering leads to enhancement of modern societies by utilizing Internet based data communication in a vehicular network to effectively avoid accidents and traffic congestions using Multi Input Multi Output (MIMO) cooperative relay technique for enhancing the aspects of performance by reduction of transmission energy consumption by taking the advantage of spatial and temporal diversity gain in a vehicular network as the conventional routing based on topology is merely not suitable over a dynamic vehicular network environment as GPS is used to identify effective route [4].In this paper we propose applications of cooperative communication techniques and their survey for identifying close relationship between forwarding and addressing techniques in a vehicular network and further we compare performance and energy consumption of cooperative techniques with the traditional multi-hop technique over Rayleigh channel using MQAM for optimization.

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Journal articles on the topic 'Vehicular communication'

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