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Inventions
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Revolutionizing Mobility: Unleashing the Power of Software-Defined Networking for Electric...
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Revolutionizing Mobility: Unleashing the Power of Software-Defined Networking for Electric Vehicle Communication

A special issue of Inventions (ISSN 2411-5134). This special issue belongs to the section "Inventions and Innovation in Electrical Engineering/Energy/Communications".

Deadline for manuscript submissions: 25 December 2025 | Viewed by 6335

Special Issue Editor

Dr. Stefano Rinaldi

E-Mail Website
Guest Editor
Department of Information Engineering, University of Brescia, Brescia 25123, Italy
Interests: industrial real-time network; wireless sensor network; smart sensors; communication systems for smart grids; time synchronization; Linux-embedded programming; embedded systems; power quality; smart grids; energy systems; smart building; energy management system; electric vehicles; vehicle-to-vehicle communication
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In an era defined by environmental consciousness and technological innovation, vehicle electrification is rapidly transforming the transportation landscape. This Special Issue explores the rapidly evolving world of electric vehicle (EV) communication, focusing on how software-defined networking (SDN) is changing the way EVs interact with each other, the infrastructure, and the broader ecosystem. It investigates the fundamental role of SDN in shaping electric vehicle communication infrastructure and analyzes how it improves data exchange, connectivity, and energy management, ultimately leading to safer, smarter, and more sustainable mobility solutions.

This Special Issue features contributions from leading researchers, industry experts, and practitioners at the forefront of the fields of electric vehicles and software-defined networking. By gathering cutting-edge technologies, models, inventions, and applications, and technological advancements, this Special Issue will highlight the path toward a sustainable and interconnected future of mobility. It aims to cover a wide range of topics, including, but not limited to, the following:

  • Interconnected smart charging;
  • Enhancing vehicle-to-everything (V2X) communication;
  • Software-defined networking for V2X;
  • Fog and edge computing applied to V2X;
  • Blockchain applications for V2X;
  • Federated learning;
  • Security and privacy challenges;
  • Green communication for EV charging;
  • Scalability and future prospects.

Prof. Dr. Stefano Rinaldi
Guest Editor

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. Inventions 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 1800 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

  • interconnected smart charging
  • enhancing vehicle-to-everything (V2X) communication
  • software-defined networking for V2X
  • fog and edge computing applied to V2X
  • blockchain applications for V2X
  • federated learning
  • security and privacy challenges
  • green communication for EV charging
  • scalability and future prospects

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Published Papers (4 papers)

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Research

18 pages, 484 KiB  
Article
Short-Term Forecasting of Total Aggregate Demand in Uncontrolled Residential Charging with Electric Vehicles Using Artificial Neural Networks
by Giovanni Panegossi Formaggio, Mauro de Souza Tonelli-Neto, Danieli Biagi Vilela and Anna Diva Plasencia Lotufo
Inventions 2025, 10(4), 54; https://doi.org/10.3390/inventions10040054 - 8 Jul 2025
Viewed by 204
Abstract
Electric vehicles are gaining attention and being adopted by new users every day. Their widespread use creates a new scenario and challenge for the energy system due to the high energy storage demands they generate. Forecasting these loads using artificial neural networks has [...] Read more.
Electric vehicles are gaining attention and being adopted by new users every day. Their widespread use creates a new scenario and challenge for the energy system due to the high energy storage demands they generate. Forecasting these loads using artificial neural networks has proven to be an efficient way of solving time series problems. This study employs a multilayer perceptron network with backpropagation training and Bayesian regularisation to enhance generalisation and minimise overfitting errors. The research aggregates real consumption data from 200 households and 348 electric vehicles. The developed method was validated using MAPE, which resulted in errors below 6%. Short-term forecasts were made across the four seasons, predicting the total aggregate demand of households and vehicles for the next 24 h. The methodology produced significant and relevant results for this problem using hybrid training, a few-neuron architecture, deep learning, fast convergence, and low computational cost, with potential for real-world application. The results support the electrical power system by optimising these loads, reducing costs and energy generation, and preparing a new scenario for EV penetration rates. Full article
(This article belongs to the Special Issue Revolutionizing Mobility: Unleashing the Power of Software-Defined Networking for Electric Vehicle Communication)
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28 pages, 1210 KiB  
Article
A Multi-Ray Channel Modelling Approach to Enhance UAV Communications in Networked Airspace
by Fawad Ahmad, Muhammad Yasir Masood Mirza, Iftikhar Hussain and Kaleem Arshid
Inventions 2025, 10(4), 51; https://doi.org/10.3390/inventions10040051 - 1 Jul 2025
Cited by 1 | Viewed by 333
Abstract
In recent years, the use of unmanned aerial vehicles (UAVs), commonly known as drones, has significantly surged across civil, military, and commercial sectors. Ensuring reliable and efficient communication between UAVs and between UAVs and base stations is challenging due to dynamic factors such [...] Read more.
In recent years, the use of unmanned aerial vehicles (UAVs), commonly known as drones, has significantly surged across civil, military, and commercial sectors. Ensuring reliable and efficient communication between UAVs and between UAVs and base stations is challenging due to dynamic factors such as altitude, mobility, environmental obstacles, and atmospheric conditions, which existing communication models fail to address fully. This paper presents a multi-ray channel model that captures the complexities of the airspace network, applicable to both ground-to-air (G2A) and air-to-air (A2A) communications to ensure reliability and efficiency within the network. The model outperforms conventional line-of-sight assumptions by integrating multiple rays to reflect the multipath transmission of UAVs. The multi-ray channel model considers UAV flights’ dynamic and 3-D nature and the conditions in which UAVs typically operate, including urban, suburban, and rural environments. A technique that calculates the received power at a target UAV within a networked airspace is also proposed, utilizing the reflective characteristics of UAV surfaces along with the multi-ray channel model. The developed multi-ray channel model further facilitates the characterization and performance evaluation of G2A and A2A communications. Additionally, this paper explores the effects of various factors, such as altitude, the number of UAVs, and the spatial separation between them on the power received by the target UAV. The simulation outcomes are validated by empirical data and existing theoretical models, providing comprehensive insight into the proposed channel modelling technique. Full article
(This article belongs to the Special Issue Revolutionizing Mobility: Unleashing the Power of Software-Defined Networking for Electric Vehicle Communication)
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13 pages, 39444 KiB  
Article
Concept of a Peripheral-Free Electrified Monorail System (PEMS) for Flexible Material Handling in Intralogistics
by Marvin Sperling, Timo Kurschilgen and Pietro Schumacher
Inventions 2024, 9(3), 52; https://doi.org/10.3390/inventions9030052 - 30 Apr 2024
Cited by 2 | Viewed by 2207
Abstract
With the emergence of Industry 4.0 in intralogistics, the need for flexible material handling solutions is increasing. While conventional conveyor systems are often too inflexible to meet changing requirements. Automated guided vehicles offer an answer, additional solutions are required for companies relying on [...] Read more.
With the emergence of Industry 4.0 in intralogistics, the need for flexible material handling solutions is increasing. While conventional conveyor systems are often too inflexible to meet changing requirements. Automated guided vehicles offer an answer, additional solutions are required for companies relying on already busy and crowded shop floors. This paper presents a concept for a periphery-free electrified monorail system (PEMS) that enables flexible material transport with minimal floor requirements. The PEMS is based on classic electrified monorail technology, and requires no additional peripheral devices within the rail system. Installation and maintenance costs are kept to a minimum through simplified branching elements and a battery-powered energy supply for the vehicles. The modular design of the rail elements further allows transport on standardized Euro-pallets. Moreover, a taxonomy for evaluating the passivity of branching elements of electrified monorail systems is introduced. The functionality of the PEMS was validated by conducting real experiments using a prototype, The results show that the PEMS provides high flexibility in terms of layout design and usage, allowing for fast adaption to the changing requirements of intralogistics. Full article
(This article belongs to the Special Issue Revolutionizing Mobility: Unleashing the Power of Software-Defined Networking for Electric Vehicle Communication)
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19 pages, 2763 KiB  
Article
Classifying Invention Objectives of Electric Vehicle Chargers through Natural Language Processing and Machine Learning
by Raj Bridgelall
Inventions 2023, 8(6), 149; https://doi.org/10.3390/inventions8060149 - 19 Nov 2023
Cited by 2 | Viewed by 2859
Abstract
The gradual adoption of electric vehicles (EVs) globally serves as a crucial move toward addressing global decarbonization goals for sustainable development. However, the lack of cost-effective, power-efficient, and safe chargers for EV batteries hampers adoption. Understanding the research needs and identifying the gaps [...] Read more.
The gradual adoption of electric vehicles (EVs) globally serves as a crucial move toward addressing global decarbonization goals for sustainable development. However, the lack of cost-effective, power-efficient, and safe chargers for EV batteries hampers adoption. Understanding the research needs and identifying the gaps in EV charger innovation informs investments and research to address development challenges. This study developed a unique text mining workflow to classify themes in EV charger technology and product development by analyzing U.S. patent award summaries. The text mining workflow combined the techniques of data extraction, data cleaning, natural language processing (NLP), statistical analysis, and unsupervised machine learning (ML) to extract unique themes and to visualize their relationships. There was a 47.7% increase in the number of EV charger patents issued in 2022 relative to that in 2018. The top four themes were charging station management, power transfer efficiency, on-board charger design, and temperature management. More than half (53.8%) of the EV charger patents issued over the five-year period from 2018 to 2022 addressed problems within those four themes. Patents that addressed wireless charging, fast charging, and fleet charging accounted for less than 10% each of the EV charger patents issued. This suggests that the industry is still at the frontier of addressing those problems. This study further presents examples of the specific EV charger problems addressed within each theme. The findings can inform investment decisions and policymaking to focus on R&D resources that will advance the state of the art and spur EV adoption. Full article
(This article belongs to the Special Issue Revolutionizing Mobility: Unleashing the Power of Software-Defined Networking for Electric Vehicle Communication)
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