Internet of Everything and Vehicular Networks

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Wireless Technologies".

Deadline for manuscript submissions: 31 October 2024 | Viewed by 7572

Special Issue Editors


E-Mail Website
Guest Editor

E-Mail Website
Guest Editor
1. Polytechnic Institute of Castelo Branco, Av. Pedro Álvares Cabral No 12, 6000-084 Castelo Branco, Portugal
2. Instituto de Telecomunicações, Rua Marquês d’Ávila e Bolama, 6201-001 Covilhã, Portugal
Interests: mobility support for wireless sensor networks; Internet of Things; smart cities; smart farming
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Computer and Telematic Systems Engineering, School of Technology, University of Extremadura, Avda. de la Universidad s/n, 10003 Cáceres, Spain
Interests: software-defined networking; unmanned aerial vehicles; 5G; edge–fog computing; network function virtualization
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Internet of Everything is based on the idea of comprehensive connectivity, intelligence, and cognition between people, processes, data, and things, with the goal of converting information into actions for new intelligent capabilities and improved experiences. As one significant aspect of the Internet of Everything, vehicular networks provide network services in intelligent transportation systems, enabling a variety of applications for safety, traffic efficiency, driver assistance, and infotainment.

This Special Issue aims to assemble researchers, academicians, scientists, and students to exchange and share their experiences and research results on the most recent innovations, trends, and concerns, as well as practical challenges encountered and solutions adopted in the fields of the Internet of Everything and vehicular networks. The topics of this Special Issue include, but are not limited to, the following:

  • Technologies and standards;
  • Architectures, protocols, and algorithms;
  • Security, privacy, and trust;
  • Data management and analytics;
  • Theory, modelling, and simulation;
  • Network performance and management;
  • Prototypes, testbeds, and case studies;
  • Services and applications.

Prof. Dr. Vasco N. G. J. Soares
Dr. João M. L. P. Caldeira
Dr. Jaime Galán-Jiménez
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. Information is an international peer-reviewed open access monthly 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 1600 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

  • Internet of Everything
  • vehicular networks
  • architecture
  • protocol
  • algorithm
  • modelling
  • simulation
  • prototype
  • testbeds
  • services
  • applications

Published Papers (3 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

61 pages, 3860 KiB  
Article
A Comprehensive Survey of Threats in Platooning—A Cloud-Assisted Connected and Autonomous Vehicle Application
by Al Tariq Sheik, Carsten Maple, Gregory Epiphaniou and Mehrdad Dianati
Information 2024, 15(1), 14; https://doi.org/10.3390/info15010014 - 25 Dec 2023
Cited by 2 | Viewed by 1496
Abstract
Cloud-Assisted Connected and Autonomous Vehicles (CCAV) are set to revolutionise road safety, providing substantial societal and economic advantages. However, with the evolution of CCAV technology, security and privacy threats have increased. Although several studies have been published around the threat and risk estimation [...] Read more.
Cloud-Assisted Connected and Autonomous Vehicles (CCAV) are set to revolutionise road safety, providing substantial societal and economic advantages. However, with the evolution of CCAV technology, security and privacy threats have increased. Although several studies have been published around the threat and risk estimation aspects of CCAV, limited research exists on the security implications and emerging threat landscapes in the CCAV platooning application. We conducted an extensive review and categorisation of real-world security incidents and created an account of 132 threats from scholarly sources and 64 threats from recorded events in practice. Furthermore, we defined thirty-one (31) trust domains and outlined eight (8) unique attack vectors to supplement existing research efforts for the systematic security analysis of such cyberinfrastructures. Using these findings, we create a detailed attack taxonomy to communicate threat-related information in CCAV and platooning applications and highlight emerging challenges and ways to safeguard the broader CCAV systems. This work acts as a roadmap to existing researchers and practitioners advocating for a ‘security and privacy by design’ framework for a dynamically evolving CCAV threat landscape. Full article
(This article belongs to the Special Issue Internet of Everything and Vehicular Networks)
Show Figures

Figure 1

24 pages, 4432 KiB  
Article
Vehicular Networks Dynamic Grouping and Re-Orchestration Scenarios
by Duaa Zuhair Al-Hamid and Adnan Al-Anbuky
Information 2023, 14(1), 32; https://doi.org/10.3390/info14010032 - 05 Jan 2023
Cited by 4 | Viewed by 1564
Abstract
The topological structure in vehicular communication networks presents challenges for sustaining network connectivity on the road. Highway dynamics, for example, encourage the need for an adaptive and flexible structure to handle the rapid events of vehicles joining and leaving the road. Such demand [...] Read more.
The topological structure in vehicular communication networks presents challenges for sustaining network connectivity on the road. Highway dynamics, for example, encourage the need for an adaptive and flexible structure to handle the rapid events of vehicles joining and leaving the road. Such demand aligns with the advancement made in software-defined networks and related dynamic network re-orchestration. This paper discusses the development of a virtual model that represents the operation of an autonomous vehicular network. It also investigates the ability to re-orchestrate the topology through software definition while running the various operational phases. Network self-formation, network expansion, retraction via vehicular members joining and leaving, and network self-healing when a topological rupture occurs as a result of a key member leaving the network are the key grouping phases. The communication approach is analyzed based on the status of network members and their ability to assume the various network roles. The concept is tested using both a Contiki–Cooja network simulator and a MATLAB analytical modeling tool to reflect the operation and performance of the grouping approach under various road scenarios. The outcome of the analysis reflects the ability of the group to be formulated within a measured latency considering the various network parameters such as communication message rate. The approach offers tools for managing the dynamic connectivity of vehicular groups and may also be extended to assume the function of an on-road network digital twin during the lifetime of a given group. Full article
(This article belongs to the Special Issue Internet of Everything and Vehicular Networks)
Show Figures

Figure 1

15 pages, 4627 KiB  
Article
Performance Assessment of ESP8266 Wireless Mesh Networks
by Luís Santos, Tiago Costa, João M. L. P. Caldeira and Vasco N. G. J. Soares
Information 2022, 13(5), 210; https://doi.org/10.3390/info13050210 - 20 Apr 2022
Cited by 4 | Viewed by 3459
Abstract
This paper presents a wireless mesh network testbed based on ESP8266 devices using painlessMesh library. It evaluates its feasibility and potential effectiveness as a solution to monitor perishable goods, such as fresh fruit and vegetables, which are often stored and transported inside refrigerated [...] Read more.
This paper presents a wireless mesh network testbed based on ESP8266 devices using painlessMesh library. It evaluates its feasibility and potential effectiveness as a solution to monitor perishable goods, such as fresh fruit and vegetables, which are often stored and transported inside refrigerated containers. Performance testing experiments with different numbers of nodes and traffic loads and different message payload sizes are conducted under unicast transmission. The impact on network performance is evaluated in terms of delivery ratio and delivery delay, which, consequently, affect the energy consumption and, hence, network lifetime. The results of this investigation are an important contribution to help researchers to propose mechanisms, schemes, and protocols to improve performance in such challenging networks. Full article
(This article belongs to the Special Issue Internet of Everything and Vehicular Networks)
Show Figures

Figure 1

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Intelligent Bio-inspired Autonomous Underwater Vehicle: Enhancing Communication and Navigation through Echolocation
Authors: P. R. Anisha; Vijaya Sindhoori Kaza; Rithika Badam; C. Kishor Kumar Reddy; Biswaranjan Acharya; Vassilis C. Gerogiannis; Andreas Kanavos 4*
Affiliation: Department of Computer Science and Engineering, Stanley College of Engineering and Technology for Women, Hyderabad, India; Department of Computer Engineering- AI and Big Data Analytics, Marwadi University, Rajkot, Gujarat, India; Department of Digital Systems, University of Thessaly, Larissa, 41500, Greece; Department of Informatics, Ionian University, Corfu, Greece
Abstract: Unmanned Underwater Vehicles (UUVs) have gained significant attention and widespread deployment worldwide due to their versatility of application and advanced technologies. UUVs hold immense potential across various sectors, including monitoring hazardous oceanic conditions such as offshore oil and gas extraction, oceanographic research, and underwater environmental monitoring. Additionally, UUVs play a crucial role in defence applications, such as advanced missile usage in battlegrounds, naval mining, intelligence collection, and torpedo launch on enemy ships. They are capable of performing Intelligence Preparation for Operations Environment (IPOE) missions, carrying payloads for electronic warfare, anti-submarine and anti-surface warfare, and mine integration warfare (MIW). However, these vehicles face certain challenges that often hinder their efficiency and versatility. This research paper targets to address these challenges by proposing a bio-inspired intelligent solution, specifically integrating 'Echolocation' into Autonomous Underwater Vehicles (AUVs) with the aim to enhance their communication and navigation capabilities. The paper provides a detailed overview of AUVs, their applications, and the current challenges they encounter. The proposed integration of echolocation into a bio-inspired AUV enhances the efficiency and versatility of these highly capable robotic vehicles. The paper presents the architectural design of the proposed vehicle, along with an experimental analysis and discussion of its application and obtained results.

Back to TopTop