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Special Issue "Advanced Communication and Networking Technologies for Vehicular Ad Hoc Networks (VANETs)"

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

Deadline for manuscript submissions: 31 October 2023 | Viewed by 3086

Special Issue Editors

School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China
Interests: VAENTs; autonomous driving communication technology; edge computing and machine learning
Special Issues, Collections and Topics in MDPI journals
Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
Interests: B5G technology; network coding; network information theory; machine learning and big data analysis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The application potential of vehicular ad hoc networks (VANETs) is extensive in various fields, such as autonomous driving, smart industry, vehicular networking and space technology. Despite the promising prospects, designing productive VANET systems may involve challenges. For example, communication networks must be fault-resistant in order to achieve reliable information distribution; data collection, processing and transmission may incur excessive delay and data loss, which would reduce the reliability of VANETs; ensuring the security and privacy of users in heterogeneous VANETs is not straightforward. With the newest developments in edge computing, 5G communication technologies, reinforcement learning, federated learning and other technologies provide effective solutions to these problems.

The goal of this Research Topic is to focus on the security, reliability, resource optimization, sensor topology optimization, sensor information collection and analysis in VANET systems. We particularly welcome the achievements yielded by the investigation of novel communication and networking technologies in VANETs, such as ultra-reliable and low-latency communication, intelligent communication network collaboration, communication performance analysis and optimization. This Research Topic invites novel contributions from academia and industrial sectors to research, develop and investigate the opportunities, challenges and solutions related to the implementation of innovative architectures, methods, approaches and technologies for VANETs.

The topics of interest include, but are not limited to, the following:

  • Ultra-reliable and low-latency communications (URLLC) for VANETs.
  • New communication technologies based on 5G NR and other applications for VANETs.
  • Modeling of routing and MAC protocol for VANETs.
  • Federated-learning-based security and privacy issues for VANETs.
  • Machine-learning-based resource management for VANETs.
  • Reinforcement learning for VANETs.
  • Artificial-intelligence-assisted data collection and analysis for VANETs.
  • Collaborative communication and self-organization technologies for VANETs.
  • Sensing for
  • Positioning for
  • Cloud computing and edge computing for
  • Emerging applications for VANETs.

Dr. Qiong Wu
Prof. Dr. Pingyi Fan
Guest Editors

Manuscript Submission Information

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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

  • ad hoc networks
  • VANETs
  • communication technologies
  • networking technologies
  • machine learning
  • positioning
  • sensing
  • cloud computing and edge computing
  • collaborative communication
  • resource allocation
  • 5G NR

Published Papers (5 papers)

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Research

Article
Capture-Aware Dense Tag Identification Using RFID Systems in Vehicular Networks
Sensors 2023, 23(15), 6792; https://doi.org/10.3390/s23156792 - 29 Jul 2023
Cited by 1 | Viewed by 384
Abstract
Passive radio-frequency identification (RFID) systems have been widely applied in different fields, including vehicle access control, industrial production, and logistics tracking, due to their ability to improve work quality and management efficiency at a low cost. However, in an intersection situation where tags [...] Read more.
Passive radio-frequency identification (RFID) systems have been widely applied in different fields, including vehicle access control, industrial production, and logistics tracking, due to their ability to improve work quality and management efficiency at a low cost. However, in an intersection situation where tags are densely distributed with vehicle gathering, the wireless channel becomes extremely complex, and the readers on the roadside may only decode the information from the strongest tag due to the capture effect, resulting in tag misses and considerably reducing the performance of tag identification. Therefore, it is crucial to design an efficient and reliable tag-identification algorithm in order to obtain information from vehicle and cargo tags under adverse traffic conditions, ensuring the successful application of RFID technology. In this paper, we first establish a Nakagami-m distributed channel capture model for RFID systems and provide an expression for the capture probability, where each channel is modeled as any relevant Nakagami-m distribution. Secondly, an advanced capture-aware tag-estimation scheme is proposed. Finally, extensive Monte Carlo simulations show that the proposed algorithm has strong adaptability to circumstances for capturing under-fading channels and outperforms the existing algorithms in terms of complexity and reliability of tag identification. Full article
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Communication
Mutual Coupling Reduction of a Multiple-Input Multiple-Output Antenna Using an Absorber Wall and a Combline Filter for V2X Communication
Sensors 2023, 23(14), 6355; https://doi.org/10.3390/s23146355 - 13 Jul 2023
Viewed by 418
Abstract
This paper presents an MIMO antenna for vehicle-to-everything (V2X) communication, which adopts two ways of combline filters and absorption wall decoupling. A combline filter and an absorption wall are used, respectively, for internal and external decoupling. The combline filter is incorporated between the [...] Read more.
This paper presents an MIMO antenna for vehicle-to-everything (V2X) communication, which adopts two ways of combline filters and absorption wall decoupling. A combline filter and an absorption wall are used, respectively, for internal and external decoupling. The combline filter is incorporated between the ground of the two adjacent antennas, which reduces the mutual coupling between them. Additionally, the mutual coupling of radiation between adjacent antennas is significantly reduced by the absorber wall. These combline filters and absorber walls use the method of electromagnetic field distribution to explain the reduction in the mutual coupling between the adjacent antennas. The transmission coefficient and surface current distribution explain the effectiveness of the decoupling structure. When the frequency is between 3.8 and 4.8 GHz, the simulation and measurement results show that S11 is less than −10 dB, the bandwidth is 25% and the peak gain is 7.8 dBi. In addition, the proposed MIMO antenna has a high isolation between antenna units (>37 dB), and the envelop correlation coefficient (ECC) is less than 0.005. Full article
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Article
Next-Hop Relay Selection for Ad Hoc Network-Assisted Train-to-Train Communications in the CBTC System
Sensors 2023, 23(13), 5883; https://doi.org/10.3390/s23135883 - 25 Jun 2023
Cited by 1 | Viewed by 381
Abstract
In the communication-based train control (CBTC) system, traditional modes such as LTE or WLAN in train-to-train (T2T) communication face the problem of a complex and costly deployment of base stations and ground core networks. Therefore, the multi-hop ad hoc network, which has the [...] Read more.
In the communication-based train control (CBTC) system, traditional modes such as LTE or WLAN in train-to-train (T2T) communication face the problem of a complex and costly deployment of base stations and ground core networks. Therefore, the multi-hop ad hoc network, which has the characteristics of being relatively flexible and cheap, is considered for CBTC. However, because of the high mobility of the train, it is likely to move out of the communication range of wayside nodes. Moreover, some wayside nodes are heavily congested, resulting in long packet queuing delays that cannot meet the transmission requirements. To solve these problems, in this paper, we investigate the next-hop relay selection problem in multi-hop ad hoc networks to minimize transmission time, enhance the network throughput, and ensure the channel quality. In addition, we propose a multiagent dueling deep Q learning (DQN) algorithm to optimize the delay and throughput of the entire link by selecting the next-hop relay node. The simulation results show that, compared with the existing routing algorithms, it has obvious improvement in the aspects of delay, throughput, and packet loss rate. Full article
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Communication
Absorbing Material of Button Antenna with Directional Radiation of High Gain for P2V Communication
Sensors 2023, 23(11), 5195; https://doi.org/10.3390/s23115195 - 30 May 2023
Viewed by 529
Abstract
Vehicular communication systems can be used to enhance the safety level of road users by exchanging safety/warning messages. In this paper, an absorbing material on a button antenna is proposed for pedestrian-to-vehicle (P2V) communication, which provides safety service to road workers on the [...] Read more.
Vehicular communication systems can be used to enhance the safety level of road users by exchanging safety/warning messages. In this paper, an absorbing material on a button antenna is proposed for pedestrian-to-vehicle (P2V) communication, which provides safety service to road workers on the highway or in a road environment. The button antenna is small in size and is easy to carry for carriers. This antenna is fabricated and tested in an anechoic chamber; it can achieve a maximum gain of 5.5 dBi and an absorption of 92% at 7.6 GHz. The maximum distance of measurement between the absorbing material of the button antenna and the test antenna is less than 150 m. The advantage of the button antenna is that the absorption surface is used in the radiation layer of the antenna so that the antenna can improve the radiation direction and gain. The absorption unit size is 15 × 15 × 5 mm3. Full article
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Communication
Stereoscopic UWB Yagi–Uda Antenna with Stable Gain by Metamaterial for Vehicular 5G Communication
Sensors 2023, 23(9), 4534; https://doi.org/10.3390/s23094534 - 06 May 2023
Cited by 1 | Viewed by 794
Abstract
In this paper, a stereoscopic ultra-wideband (UWB) Yagi–Uda (SUY) antenna with stable gain by near-zero-index metamaterial (NZIM) has been proposed for vehicular 5G communication. The proposed antenna consists of magneto-electric (ME) dipole structure and coaxial feed patch antenna. The combination of patch antenna [...] Read more.
In this paper, a stereoscopic ultra-wideband (UWB) Yagi–Uda (SUY) antenna with stable gain by near-zero-index metamaterial (NZIM) has been proposed for vehicular 5G communication. The proposed antenna consists of magneto-electric (ME) dipole structure and coaxial feed patch antenna. The combination of patch antenna and ME structure allows the proposed antenna can work as a Yagi–Uda antenna, which enhances its gain and bandwidth. NZIM removes a pair of C-notches on the surface of the ME structure to make it absorb energy, which results in two radiation nulls on both sides of the gain passband. At the same time, the bandwidth can be enhanced effectively. In order to further improve the stable gain, impedance matching is achieved by removing the patch diagonally; thus, it is able to tune the antenna gain of the suppression boundary and open the possibility to reach the most important characteristic: a very stable gain in a wide frequency range. The SUY antenna is fabricated and measured, which has a measured −10 dBi impedance bandwidth of approximately 40% (3.5–5.5 GHz). Within it, the peak gain of the antenna reaches 8.5 dBi, and the flat in-band gain has a ripple lower than 0.5 dBi. Full article
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