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Electronics
Special Issues
5G Networks for Mobile and Vehicular Communication
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5G Networks for Mobile and Vehicular Communication

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: closed (31 August 2022) | Viewed by 5283

Special Issue Editors

Dr. Naveen Chilamkurti

E-Mail Website
Guest Editor
Department of Computer Science and Information Technology, La Trobe University, Melbourne, VIC 3086, Australia
Interests: network security; CPS; sensor network; IoT; AI-based information processing
Special Issues, Collections and Topics in MDPI journals
Dr. Ming-Fong Tsai

E-Mail Website
Guest Editor
Department of Electronic Engineering, National United University, Miaoli 360001, Taiwan
Interests: vehicular communications; multimedia communications; machine learning; deep learning and artificial internet of things
Special Issues, Collections and Topics in MDPI journals
Dr. Tin-Yu Wu

E-Mail Website
Guest Editor
Department of Management Information Systems, National Pingtung University of Science and Technology, Pingtung 91201, Taiwan
Interests: 5G communications; AIoTs; cloud computing

Special Issue Information

Dear Colleagues, 

In view of the development of mobile and vehicular communication, there are a variety of papers researching proposing the use of 5G networks to exchange data in driving safety awareness information systems. Today, driving safety sensing components such as video cameras and radar devices have gradually become standard equipment for automobiles. It is very important that information such as vehicle speed, network available bandwidth, and driving safety perception are processed to optimize their adaptability before uploading them to a cloud server using 5G networks. Heterogeneous mobile and vehicular devices are seamlessly integrated by 5G networks. This Special Issue is intended to foster the dissemination of state-of-the-art research in the area of advanced technologies and applications in 5G networks for mobile and vehicular communication. Submissions of high-quality papers describing mature results or on-going work are invited. 

Topics of interest include but are not limited to the following:

  • Advanced data sensing using 5G networking technology for mobile and vehicular communication;
  • Advanced security technologies and applications in cellular vehicle-to-everything;
  • Advanced driver assistance systems technology in cellular vehicle-to-everything;
  • Autonomous vehicle ecosystem using 5G networking technology;
  • Intelligent transport system using 5G networking technology;
  • AI-enabled issues using 5G networking technology for mobile and vehicular communication;
  • Precise positioning technologies and applications in cellular vehicle-to-everything;
  • Green communications and QoS technologies in cellular vehicle-to-everything;
  • Spectrum and radio resource management techniques for mobile and vehicular communication;
  • Performance evaluation of 5G networking for mobile and vehicular communication;
  • Economic and management technologies in cellular vehicle-to-everything;
  • Intelligent social networks in Cellular vehicle-to-everything. 

Dr. Naveen Chilamkurti
Dr. Ming-Fong Tsai
Dr. Tin-Yu Wu
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. Electronics 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 2400 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

  • 5G networks
  • mobile communication
  • vehicular communication

Published Papers (2 papers)

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Research

12 pages, 2362 KiB  
Article
A Novel Unmanned Aerial Vehicle Charging Scheme for Wireless Rechargeable Sensor Networks in an Urban Bus System
by Tu-Liang Lin, Hong-Yi Chang and Yu-Hsin Wang
Electronics 2022, 11(9), 1464; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics11091464 - 03 May 2022
Cited by 2 | Viewed by 1665
Abstract
Wireless sensor networks (WSNs) are implemented in many aspects of daily life, such as Internet of Things applications, industrial automation, and intelligent agriculture. Sensors are typically powered by batteries. Chargers can be used to supply power to sensor nodes and thus extend the [...] Read more.
Wireless sensor networks (WSNs) are implemented in many aspects of daily life, such as Internet of Things applications, industrial automation, and intelligent agriculture. Sensors are typically powered by batteries. Chargers can be used to supply power to sensor nodes and thus extend the lifetime of WSNs. This special type of network is named a wireless rechargeable sensor network (WRSN). However, due to the limited battery power and different deployment locations of the sensors, efficiently moving the chargers from the current sensor nodes to the next sensor nodes is a challenge. In this study, we propose an unmanned aerial vehicle (UAV)-based charging scheme in an urban bus system, involving the coordination between UAVs and bus schedules. The UAVs can be recharged by urban buses and then supply the power to sensor nodes. We implemented three charging strategies: naïve, shortest path, and max power. In the naïve strategy, the UAVs fly directly to sensor nodes when the sensors are lacking power. In the shortest path strategy, the minimum distance between the sensor node and bus location is calculated, and the UAVs fly the shortest path to the sensor nodes. In the maximum power charging strategy, the UAV that has the highest battery power is assigned to work. The experimental results show that the shortest path charging and max power charging strategies perform better than naïve charging in different parameter settings. To prolong the lifetime of the network system, adjusting the bus frequency according to the number of nearby sensors around the bus route is favorable. Full article
(This article belongs to the Special Issue 5G Networks for Mobile and Vehicular Communication)
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25 pages, 3771 KiB  
Article
Application of Generative Adversarial Network to Optimize Vehicle Allocation at Dispatch Stations of Paratransit Services
by Yi-Chung Chen, Chee-Hoe Loh, Fu-Cheng Wang, Zi-Jing Chen, Shau-Huai Fu and Chen-Yu Wang
Electronics 2022, 11(3), 423; https://0-doi-org.brum.beds.ac.uk/10.3390/electronics11030423 - 30 Jan 2022
Cited by 1 | Viewed by 2553
Abstract
As aging populations increase worldwide, many governments have introduced the concept of paratransit services to assist individuals with limited mobility with transportation. A successful paratransit service must be able to satisfy most requests to the system; this success is typically related to the [...] Read more.
As aging populations increase worldwide, many governments have introduced the concept of paratransit services to assist individuals with limited mobility with transportation. A successful paratransit service must be able to satisfy most requests to the system; this success is typically related to the allocation of vehicles to dispatch stations. A suitable configuration can reduce unnecessary travel time and thus serve more people. This resembles the classic Dial-a-Ride problem, which previous studies have solved using heuristic algorithms. Most of these algorithms, however, incur heavy computational costs and, therefore, cannot be operated online, especially when there are many conditions to consider, many configuration requirements, or many vehicles requested. Therefore, this paper proposes an approach based on the generative adversary network (GAN), which can reduce computation significantly. In online environments, this approach can be implemented in just a few seconds. Furthermore, the amount of computation is not affected by the number of conditions, configuration requirements, or vehicles requested. This approach is based on three important concepts: (1) designing a GAN to solve the target problem; (2) using an improved Voronoi diagram to divide the overall service area to generate the input of the GAN generator; (3) using well-known system simulation software Arena to swiftly generate many conditions for the target problem and their corresponding best solutions to train the GAN. The efficiency of the proposed approach was verified using a case study of paratransit services in Yunlin, Taiwan. Full article
(This article belongs to the Special Issue 5G Networks for Mobile and Vehicular Communication)
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