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Wireless Communications in Vehicular Network
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Wireless Communications in Vehicular Network

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: 20 December 2024 | Viewed by 4753

Special Issue Editors

Dr. Jun Du

E-Mail Website
Guest Editor
Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
Interests: IoV; edge intelligence; federated learning; IoV security
Dr. Lei Liu

E-Mail Website
Guest Editor
State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an 710071, China
Interests: intelligent transportation systems; internet of vehicles; distributed computing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Vehicular networks have shown great potential in traffic congestion mitigation and safety enhancement in the 5G/B5G era. With the rapid development of computation and communication technologies, vehicular networks promise huge commercial interest and research value, thereby attracting much attention from academia and industry. However, with the ever-increasing demands for vehicular networks driven by a variety of vehicular services and application scenarios, it is necessary to provide robust, secure, seamless, and scalable communications among the vehicles. As a response, designing new architectures with great data throughput, low latency, high security, and massive connectivity by harnessing the benefits of 5G plays an important role for vehicular networks. Yet, the evolution towards the vehicular networks with satisfied performance is still in its infancy. Vehicular mobility patterns and traffic models are the keys to assisting a wide range of analyses in the vehicular network designs and operations. Specifically, vehicular mobility models have a particular emphasis on the random patterns of vehicles in space and individual driving behaviors, making a contribution to the vehicular network security. Moreover, there has been significant interest in Artificial intelligence (AI)-driven vehicular networks for ultra-reliable and low-latency communications resulting from the massive amounts of data generated by vehicles. In addition, packets routing protocols from source to destination vehicles in reliable and stable manners are worthy researching to provide real-time inter-vehicle communications compared with the traditional methods. To solve the challenges above, synergistic techniques from a diverse set of fields can be utilized, including optimization, machine learning, block chain, Software Defined Network (SDN), game theory, etc. This Special Issue aims at collecting contributions on novel communication techniques in vehicular networks from a multitude of perspectives, including theoretical, algorithmic, and practical design and analysis.

Dr. Jun Du
Dr. Lei Liu
Guest Editors

Manuscript Submission Information

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

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

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • ultra-reliable low-latency communications
  • edge computing
  • distributed learning
  • security

Published Papers (4 papers)

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Research

18 pages, 2876 KiB  
Article
A CFO-Assisted Algorithm for Wireless Time-Difference-of-Arrival Localization Networks: Analytical Study and Experimental Results
by Cédric Hannotier, François Horlin and François Quitin
Sensors 2024, 24(3), 737; https://doi.org/10.3390/s24030737 - 23 Jan 2024
Viewed by 751
Abstract
Localization of wireless transmitters is traditionally done using Radio Frequency (RF) sensors that measure the propagation delays between the transmitter and a set of anchor receivers. One of the major challenges of wireless localization systems is the need for anchor nodes to be [...] Read more.
Localization of wireless transmitters is traditionally done using Radio Frequency (RF) sensors that measure the propagation delays between the transmitter and a set of anchor receivers. One of the major challenges of wireless localization systems is the need for anchor nodes to be time-synchronized to achieve accurate localization of a target node. Using a reference transmitter is an efficient way to synchronize the anchor nodes Over-The-Air (OTA), but such algorithms require multiple periodic messages to achieve tight synchronization. In this paper, we propose a new synchronization method that only requires a single message from a reference transmitter. The main idea is to use the Carrier Frequency Offset (CFO) from the reference node, alongside the Time of Arrival (ToA) of the reference node messages, to achieve tight synchronization. The ToA allows the anchor nodes to compensate for their absolute time offset, and the CFO allows the anchor nodes to compensate for their local oscillator drift. Additionally, using the CFO of the messages sent by the reference nodes and the target nodes also allow us to estimate the speed of the targets. The error of the proposed algorithm is derived analytically and is validated through controlled laboratory experiments. Finally, the algorithm is validated by realistic outdoor vehicular measurements with a software-defined radio testbed. Full article
(This article belongs to the Special Issue Wireless Communications in Vehicular Network)
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15 pages, 3848 KiB  
Article
Comprehensive Simulation Framework for Space–Air–Ground Integrated Network Propagation Channel Research
by Zekai Zhang, Shaoyang Song, Jingzehua Xu, Ziyuan Wang, Xiangwang Hou, Ming Zeng, Wei Men and Yong Ren
Sensors 2023, 23(22), 9207; https://doi.org/10.3390/s23229207 - 16 Nov 2023
Viewed by 743
Abstract
The space–air–ground integrated network (SAGIN) represents a pivotal component within the realm of next-generation mobile communication technologies, owing to its established reliability and adaptable coverage capabilities. Central to the advancement of SAGIN is propagation channel research due to its critical role in aiding [...] Read more.
The space–air–ground integrated network (SAGIN) represents a pivotal component within the realm of next-generation mobile communication technologies, owing to its established reliability and adaptable coverage capabilities. Central to the advancement of SAGIN is propagation channel research due to its critical role in aiding network system design and resource deployment. Nevertheless, real-world propagation channel research faces challenges in data collection, deployment, and testing. Consequently, this paper designs a comprehensive simulation framework tailored to facilitate SAGIN propagation channel research. The framework integrates the open source QuaDRiGa platform and the self-developed satellite channel simulation platform to simulate communication channels across diverse scenarios, and also integrates data processing, intelligent identification, algorithm optimization modules in a modular way to process the simulated data. We also provide a case study of scenario identification, in which typical channel features are extracted based on channel impulse response (CIR) data, and recognition models based on different artificial intelligence algorithms are constructed and compared. Full article
(This article belongs to the Special Issue Wireless Communications in Vehicular Network)
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16 pages, 4030 KiB  
Article
Fisher-Information-Matrix-Based USBL Cooperative Location in USV–AUV Networks
by Ziyuan Wang, Jingzehua Xu, Yuanzhe Feng, Yijing Wang, Guanwen Xie, Xiangwang Hou, Wei Men and Yong Ren
Sensors 2023, 23(17), 7429; https://doi.org/10.3390/s23177429 - 25 Aug 2023
Viewed by 961
Abstract
With the development of underwater technology and the increasing demand for ocean development, more and more intelligent equipment is being applied to underwater scientific missions. Specifically, autonomous underwater vehicle (AUV) clusters are being used for their flexibility and the advantages of carrying communication [...] Read more.
With the development of underwater technology and the increasing demand for ocean development, more and more intelligent equipment is being applied to underwater scientific missions. Specifically, autonomous underwater vehicle (AUV) clusters are being used for their flexibility and the advantages of carrying communication and detection units, often performing underwater tasks in formation. In order to locate AUVs with high precision, we introduce an unmanned surface vehicle (USV) with global positioning system (GPS) and propose a USV–AUV network. Furthermore, we propose an ultra-short baseline (USBL) acoustic cooperative location scheme with an orthogonal array, which is based on underwater communication with sonar. Based on the derivation of the Fisher information matrix formula under Cartesian parameters, we analyze the positioning accuracy of AUVs in different positions under the USBL positioning mode to derive the optimal array of the AUV formation. In addition, we propose a USV path planning scheme based on Dubins path planning functions to assist in locating the AUV formation. The simulation results verify that the proposed scheme can ensure the positioning accuracy of the AUV formation and help underwater research missions. Full article
(This article belongs to the Special Issue Wireless Communications in Vehicular Network)
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22 pages, 2113 KiB  
Article
Analysis of Co-Channel Coexistence Mitigation Methods Applied to IEEE 802.11p and 5G NR-V2X Sidelink
by Zhuofei Wu, Stefania Bartoletti, Vincent Martinez, Vittorio Todisco and Alessandro Bazzi
Sensors 2023, 23(9), 4337; https://doi.org/10.3390/s23094337 - 27 Apr 2023
Cited by 1 | Viewed by 1669
Abstract
Direct communication between vehicles and surrounding objects, called vehicle-to-everything (V2X), is ready for the market and promises to raise the level of safety and comfort while driving. To this aim, specific bands have been reserved in some countries worldwide and different wireless technologies [...] Read more.
Direct communication between vehicles and surrounding objects, called vehicle-to-everything (V2X), is ready for the market and promises to raise the level of safety and comfort while driving. To this aim, specific bands have been reserved in some countries worldwide and different wireless technologies have been developed; however, these are not interoperable. Recently, the issue of co-channel coexistence has been raised, leading the European Telecommunications Standards Institute (ETSI) to propose a number of solutions, called mitigation methods, for the coexistence of the IEEE 802.11p based ITS-G5 and the 3GPP fourth generation (4G) long term evolution (LTE)-V2X sidelink. In this work, several of the envisioned alternatives are investigated when adapted to the coexistence of the IEEE 802.11p with its enhancement IEEE 802.11bd and the latest 3GPP standards, i.e., the fifth generation (5G) new radio (NR)-V2X. The results, obtained through an open-source simulator that is shared with the research community for the evaluation of additional proposals, show that the methods called A and C, which require modifications to the standards, improve the transmission range of one or both systems without affecting the other, at least in low-density scenarios. Full article
(This article belongs to the Special Issue Wireless Communications in Vehicular Network)
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