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Telecom
Special Issues
IoT Applications and Industry 4.0: 2021
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IoT Applications and Industry 4.0: 2021

A special issue of Telecom (ISSN 2673-4001).

Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 9095

Special Issue Editors

Dr. Thomas Lagkas

E-Mail Website
Guest Editor
Department of Computer Science, International Hellenic University, 65404 Kavala, Greece
Interests: IoT; 5G and beyond
Special Issues, Collections and Topics in MDPI journals
Dr. Panagiotis Sarigiannidis

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, University of Western Macedonia, 50100 Kozani, Greece
Interests: IoT; 5G mobile communication; UAV; quality of service; radio access networks; computer network security; radio networks; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Dr. John Soldatos

E-Mail Website
Guest Editor
Athens Information Technology, Athens, Greece
Interests: internet of things; cloud computing; big data; artificial intelligence

Special Issue Information

Dear Colleagues,

The 3rd International Workshop on IoT Applications and Industry 4.0 (IoTI4 2021) will take place online from July 14 to 16, 2021. The IoTI4 technical program includes all aspects related to the realization of promising IoT applications in various areas, including Industry 4.0 scenarios. This Special Issue aims at publishing extended versions of papers in the area of IoT from the workshop. Potential topics include but are not limited to the following:

  • Industry 4.0
  • Smart Electric Grids
  • Smart Farming
  • Smart City
  • Smart Home
  • Remote e-Health
  • Vehicular/Flying/Sensor Networks
  • Cybersecurity in Industrial IoT
  • Analytics in Industrial Use Cases

Dr. Thomas Lagkas
Dr. Panagiotis Sarigiannidis
Dr. John Soldatos
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. Telecom is an international peer-reviewed open access quarterly 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 1200 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

  • industry 4.0
  • smart electric grids
  • smart farming
  • smart city
  • smart home
  • remote e-health
  • vehicular/flying/sensor networks
  • cybersecurity in industrial IoT
  • analytics in industrial use cases

Published Papers (3 papers)

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Research

21 pages, 7471 KiB  
Article
Monitoring Saffron Crops with UAVs
by Konstantinos Kiropoulos, Dimosthenis C. Tsouros, Foteini Dimaraki, Anna Triantafyllou, Stamatia Bibi, Panagiotis Sarigiannidis and Pantelis Angelidis
Telecom 2022, 3(2), 301-321; https://doi.org/10.3390/telecom3020017 - 13 May 2022
Cited by 2 | Viewed by 2356
Abstract
The use of information technology in agriculture has brought significant benefits to producers, such as increased profits and better product quality. Modern technology applications in agriculture rely on the use of unmanned aerial vehicles (UAVs) and wireless ground sensors to provide real-time information [...] Read more.
The use of information technology in agriculture has brought significant benefits to producers, such as increased profits and better product quality. Modern technology applications in agriculture rely on the use of unmanned aerial vehicles (UAVs) and wireless ground sensors to provide real-time information about fields and crops. In Europe, these techniques, referred to as Smart Farming (SF), are still in their infancy despite the large agricultural production of a wide range of products. For this reason, in this study, we experimented with the technologies of SF in the cultivation of Greek saffron, a rare spice with many uses. For this reason, and also because its harvest is quite labor intensive, it is one of the most expensive spices. Since the field of SF is relatively new and has not yet been used for this particular crop and area, the equipment and methods of data processing were selected experimentally after a review of the literature. The aim of the study was to remotely acquire image data of the crops and train a machine learning model to detect important objects such as saffron flowers and weeds. Full article
(This article belongs to the Special Issue IoT Applications and Industry 4.0: 2021)
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23 pages, 3325 KiB  
Article
Analysis and Estimation of Economic Influence of IoT and Telecommunication in Regional Media Based on Evolution and Electronic Markets in Romania
by Andreea Nistor and Eduard Zadobrischi
Telecom 2022, 3(1), 195-217; https://doi.org/10.3390/telecom3010013 - 04 Mar 2022
Cited by 13 | Viewed by 4379
Abstract
The interconnection of devices, intended to collect and transmit data via the Internet, is called the Internet of Things (IoT). This technology has the potential to revolutionize both the economic and industrial sectors, especially in terms of data confidentiality and information security. New [...] Read more.
The interconnection of devices, intended to collect and transmit data via the Internet, is called the Internet of Things (IoT). This technology has the potential to revolutionize both the economic and industrial sectors, especially in terms of data confidentiality and information security. New media, with a merger between those two, have increasingly replaced traditional media, but many researchers characterize them as two distinct but interconnected types of media. From the traditional media, with its technological evolution, the IoT has supported the development of the media through the emergence of applications, websites, and social networks designed to spread information worldwide. This research focuses on how the IoT has the ability to influence economic growth by trying to determine the impact of the IoT through theories and the evolution of economic growth. Thus, the concept of the IoT is interdependent on information and communications technology and, from an economic point of view, is correlated with productivity. In addition, the processes that have an impact on the media are those of an economic nature, all of which are interconnected with progress, innovation, and the promotion of goods and services. At the same time, this paper aims to determine the correlation between IoT and the economy, with a focus on the media, which has the main result of the development of new businesses. Thus, a bibliometric analysis of the scientific papers on the Web of Science platform regarding the IoT field was performed, in order to identify the current state of knowledge in this field. The results of this analysis highlighted that both the IoT and the economy are shaped by innovation, opportunities, and development. Full article
(This article belongs to the Special Issue IoT Applications and Industry 4.0: 2021)
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35 pages, 1648 KiB  
Article
A Node Placement Algorithm Utilizing Mobile Nodes in WSN and IoT Networks
by Natalie Temene, Charalampos Sergiou, Christiana Ioannou, Chryssis Georgiou and Vasos Vassiliou
Telecom 2022, 3(1), 17-51; https://doi.org/10.3390/telecom3010002 - 01 Jan 2022
Cited by 5 | Viewed by 3211
Abstract
The operation of the Internet of Things (IoT) networks and Wireless Sensor Networks (WSN) is often disrupted by a number of problems, such as path disconnections, network segmentation, node faults, and security attacks. A method that gains momentum in resolving some of those [...] Read more.
The operation of the Internet of Things (IoT) networks and Wireless Sensor Networks (WSN) is often disrupted by a number of problems, such as path disconnections, network segmentation, node faults, and security attacks. A method that gains momentum in resolving some of those issues is the use of mobile nodes or nodes deployed by mobile robots. The use of mobile elements essentially increases the resources and the capacity of the network. In this work, we present a Node Placement Algorithm with two variations, which utilizes mobile nodes for the creation of alternative paths from source to sink. The first variation employs mobile nodes that create locally-significant alternative paths leading to the sink. The second variation employs mobile nodes that create completely individual (disjoint) paths to the sink. We then extend the local variation of the algorithm by also accounting for the energy levels of the nodes as a contributing factor regarding the creation of alternative paths. We offer both a high-level description of the concept and also detailed algorithmic solutions. The evaluation of the solutions was performed in a case study of resolving congestion in the network. Results have shown that the proposed algorithms can significantly contribute to the alleviation of the problem of congestion in IoT and WSNs and can easily be used for other types of network problems. Full article
(This article belongs to the Special Issue IoT Applications and Industry 4.0: 2021)
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