Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.3
2.5
Journals
Applied Sciences
Special Issues
IoT-Enhancing the Industrial World
applsci-logo
Submit to Applied Sciences Review for Applied Sciences Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

IoT-Enhancing the Industrial World

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".

Deadline for manuscript submissions: closed (31 October 2022) | Viewed by 21873

Special Issue Editors

Prof. Dr. Pedro Valderas

E-Mail Website
Guest Editor
Department of Computer Systems and Computation, Universitat Politècnica de València, 46022 València, Spain
Interests: Internet of Things; service engineering; adaptive systems; business processes modelling; model-driven development
Prof. Dr. Victoria Torres

E-Mail Website
Guest Editor
PROS Research Centre, Universitat Politècnica de València, València, Spain
Interests: business process management; software variability; the internet of things; web engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The introduction of the Internet of Things in the industrial world (Industrial IoT, IIoT) promises to revolutionize industry management and business processes. IIoT promotes the holistic integration of automation, business information, and manufacturing execution functions to transform traditional industries into intelligent ones that enable physical assets to be integrated into intertwined digital and physical processes.

Through the use of appropriate services, networking technologies, applications, sensors, software, middleware, and storage systems, IoT enhances traditional industries with the potential and capability of self-monitoring and self-controlling manufacturing processes and assets. In addition, IIoT promotes the distribution of decision making across myriad interconnected actors and moves manufacturing and production from a centralized to a decentralized industrial business process. This demands the widespread adoption of the smart interconnection of production machines, humans, products, transport options, and IT tools, not only at the same production site but also across the entire organizational ecosystem. This would allow for the expansion of the value chain by generating new business models that create value for customers and revenue for manufacturing companies.

The aim of this Special Issue on “IoT-Enhancing the Industrial World” is therefore to present new research that focuses on innovative developments, technologies, and challenges related to industrial environments enhanced with IoT technology. The potential topics include, but are not limited to:

  • Design methodologies, middleware, principles, architectures, infrastructures, and tools for IIoT.
  • IIoT-enabled service management tools/systems.
  • Self-maintainability, self-optimization, self-cognition, or self-customization in industrial environments.
  • IoT device interoperability in industrial contexts.
  • Acquisition, processing, and security of IIoT device data streams.

  • Novel techniques of mining, monitoring, design and prevent operational disruptions in IIoT manufacturing processes.

  • Edge computing, fog computing, cloud computing, and IIoT.
  • Advanced machine learning and artificial intelligence approaches in an IIoT setting.
  • Practical validation and experimental prototypes of IIoT systems.

Prof. Dr. Pedro Valderas
Dr. Victoria Torres
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. Applied Sciences 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

  • industrial IoT
  • interoperability
  • self-*
  • data stream processing
  • disruption prevention
  • edge computing
  • fog computing
  • cloud computing
  • artificial intelligence

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (7 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

Jump to: Review

23 pages, 5062 KiB  
Article
Graphic Model for Shop Floor Simulation and Control in the Context of Industry 5.0
by Nuno Fernandes, João-Paulo Barros and Rogerio Campos-Rebelo
Appl. Sci. 2023, 13(2), 930; https://doi.org/10.3390/app13020930 - 10 Jan 2023
Cited by 2 | Viewed by 1387
Abstract
Industry 5.0 changes the paradigm of the current production model, with repercussions throughout the value chain, and opens up opportunities for new approaches that include reducing waste to optimize the use of the planet’s resources. This paper proposes a functional and executable model [...] Read more.
Industry 5.0 changes the paradigm of the current production model, with repercussions throughout the value chain, and opens up opportunities for new approaches that include reducing waste to optimize the use of the planet’s resources. This paper proposes a functional and executable model that implements a Holonic Manufacturing System (HMS) architecture inspired by the I5.0 guidelines. This architecture presents the factory floor as a service provider for the product to be built, intending to make the manufacturing process adaptable to changes. The model uses Reference nets as the modeling language, a high-level class of Petri nets, Java programming language as the annotation language, and free tool support. The model can be used to perform software-level simulations and can also be interconnected to existing physical devices using Internet of things technologies, enabling interactions between Cyber–Physical Systems (CPSs). It thus allows for the control of the shop floor and the reuse of the current machine park to make its adoption more sustainable. The model was used to generate several simulation results, which are presented and analyzed, thus demonstrating the model’s usefulness. Full article
(This article belongs to the Special Issue IoT-Enhancing the Industrial World)
►▼ Show Figures

Figure 1

11 pages, 3807 KiB  
Article
A Study on the Estimations of the Tension of the Overhead Wires Using Data from Acceleration Sensors
by Jun-Hyeok Kim, Jong-Man Joung and Byung-Sung Lee
Appl. Sci. 2022, 12(15), 7736; https://doi.org/10.3390/app12157736 - 1 Aug 2022
Viewed by 1160
Abstract
One of the important tasks of the distribution system is to operate the distribution system in consideration of the safety. It is also important to minimize and prevent possible failures in the distribution system. In terms of overhead wires, it is necessary to [...] Read more.
One of the important tasks of the distribution system is to operate the distribution system in consideration of the safety. It is also important to minimize and prevent possible failures in the distribution system. In terms of overhead wires, it is necessary to measure the tension of it for the purpose of ensuring safety. However, it is difficult to install sensors for measuring the tension of the overhead wires in the field as there would be huge difficulties to re-install facilities such as existing wires after dismantling them. Thus, it is difficult to manage the risk of overhead wires through tension measurement. To solve and alleviate this problem, this paper proposed and verified a method of attaching an acceleration sensor that does not require dismantling or re-installation of existing facilities to the overhead wires and estimating the tension using the data measured from the sensors. As a result of the verification, it was confirmed that the estimated tension showed a significant level of accuracy with an average of 90.39%, and on the basis of this result, it is expected to contribute to safety management of overhead wires in the future. Full article
(This article belongs to the Special Issue IoT-Enhancing the Industrial World)
►▼ Show Figures

Figure 1

22 pages, 727 KiB  
Article
Towards a Maturity Model for IoT Adoption by B2C Companies
by Olena Klisenko and Estefanía Serral Asensio
Appl. Sci. 2022, 12(3), 982; https://doi.org/10.3390/app12030982 - 19 Jan 2022
Cited by 11 | Viewed by 2503
Abstract
The fast-growing market for the adoption of IoT technologies poses serious challenges for companies providing IoT solutions. These challenges require constant technological and managerial improvement from the companies. To select the right direction for improvements, managers need appropriate tools for analysis and decision [...] Read more.
The fast-growing market for the adoption of IoT technologies poses serious challenges for companies providing IoT solutions. These challenges require constant technological and managerial improvement from the companies. To select the right direction for improvements, managers need appropriate tools for analysis and decision making. Recognised tools of this type are maturity models. Currently, maturity models developed for IoT adoption are mainly oriented to the business to business (B2B) market, while business to consumer (B2C) companies also need such a reliable tool for business improvement. Thus, this work is intended to fill the gap in existing research through the development of a maturity model for IoT adoption focused on the B2C market. To achieve this goal, we based our model on the scientific literature as well as on practical experience gained by leading companies in the market of IoT solutions. Moreover, the development and validation of the maturity model are carried out in close collaboration with two reputable European experts with extensive practical experience in this field. The result is a maturity model, which is a balanced, practice-oriented tool for assessing the maturity of the IoT solutions implementation and accounting for the specificity of the B2C market. Full article
(This article belongs to the Special Issue IoT-Enhancing the Industrial World)
►▼ Show Figures

Figure 1

18 pages, 9565 KiB  
Article
CoSiWiNeT: A Clock Synchronization Algorithm for Wide Area IIoT Network
by Rahul Nandkumar Gore, Elena Lisova, Johan Åkerberg and Mats Björkman
Appl. Sci. 2021, 11(24), 11985; https://doi.org/10.3390/app112411985 - 16 Dec 2021
Cited by 3 | Viewed by 1932
Abstract
Recent advances in the industrial internet of things (IIoT) and cyber–physical systems drive Industry 4.0 and have led to remote monitoring and control applications that require factories to be connected to remote sites over wide area networks (WAN). The adequate performance of remote [...] Read more.
Recent advances in the industrial internet of things (IIoT) and cyber–physical systems drive Industry 4.0 and have led to remote monitoring and control applications that require factories to be connected to remote sites over wide area networks (WAN). The adequate performance of remote applications depends on the use of a clock synchronization scheme. Packet delay variations adversely impact the clock synchronization performance. This impact is significant in WAN as it comprises wired and wireless segments belonging to public and private networks, and such heterogeneity results in inconsistent delays. Highly accurate, hardware–based time synchronization solutions, global positioning system (GPS), and precision time protocol (PTP) are not preferred in WAN due to cost, environmental effects, hardware failure modes, and reliability issues. As a software–based network time protocol (NTP) overcomes these challenges but lacks accuracy, the authors propose a software–based clock synchronization method, called CoSiWiNeT, based on the random sample consensus (RANSAC) algorithm that uses an iterative technique to estimate a correct offset from observed noisy data. To evaluate the algorithm’s performance, measurements captured in a WAN deployed within two cities were used in the simulation. The results show that the performance of the new algorithm matches well with NTP and state–of–the–art methods in good network conditions; however, it outperforms them in degrading network scenarios. Full article
(This article belongs to the Special Issue IoT-Enhancing the Industrial World)
►▼ Show Figures

Figure 1

17 pages, 2589 KiB  
Article
SBTMS: Scalable Blockchain Trust Management System for VANET
by Fatemeh Ghovanlooy Ghajar, Javad Salimi Sratakhti and Axel Sikora
Appl. Sci. 2021, 11(24), 11947; https://doi.org/10.3390/app112411947 - 15 Dec 2021
Cited by 16 | Viewed by 2957
Abstract
With many advances in sensor technology and the Internet of Things, Vehicle Ad Hoc Network (VANET) is becoming a new generation. VANET’s current technical challenges are deploying decentralized architecture and protecting privacy. Because Blockchain features are decentralized, distributed, mass storage, and non-manipulation features, [...] Read more.
With many advances in sensor technology and the Internet of Things, Vehicle Ad Hoc Network (VANET) is becoming a new generation. VANET’s current technical challenges are deploying decentralized architecture and protecting privacy. Because Blockchain features are decentralized, distributed, mass storage, and non-manipulation features, this paper designs a new decentralized architecture using Blockchain technology called Blockchain-based VANET. Blockchain-based VANET can effectively resolve centralized problems and mutual distrust between VANET units. To achieve this, it is needed to provide scalability on the blockchain to run for VANET. In this system, our focus is on the reliability of incoming messages on the network. Vehicles check the validity of the received messages using the proposed Bayesian formula for trust management system and some information saved in the Blockchain. Then, based on the validation result, the vehicle computes a rate for each message type and message source vehicle. Vehicles upload the computed rates to Roadside Units (RSUs) in order to calculate the net reliability value. Finally, RSUs using a sharding consensus mechanism generate blocks, including the net reliability value as a transaction. In this system, all RSUs collaboratively maintain the latest updated Blockchain. Our experimental results show that the proposed system is effective, scalable and dependable in data gathering, computing, organization, and retrieval of trust values in VANET. Full article
(This article belongs to the Special Issue IoT-Enhancing the Industrial World)
►▼ Show Figures

Figure 1

16 pages, 1724 KiB  
Article
Reliable Bidirectional Data Transfer Approach for the Internet of Secured Medical Things Using ZigBee Wireless Network
by Amjad Rehman, Khalid Haseeb, Suliman Mohamed Fati, Jaime Lloret and Lourdes Peñalver
Appl. Sci. 2021, 11(21), 9947; https://doi.org/10.3390/app11219947 - 25 Oct 2021
Cited by 7 | Viewed by 2060
Abstract
Nowadays, the Internet of Things (IoT) performs robust services for real-time applications in monitoring communication systems and generating meaningful information. The ZigBee devices offer low latency and manageable costs for wireless communication and support the process of physical data collection. Some biosensing systems [...] Read more.
Nowadays, the Internet of Things (IoT) performs robust services for real-time applications in monitoring communication systems and generating meaningful information. The ZigBee devices offer low latency and manageable costs for wireless communication and support the process of physical data collection. Some biosensing systems comprise IoT-based ZigBee devices to monitor patient healthcare attributes and alert healthcare professionals for needed action. However, most of them still face unstable and frequent data interruption issues due to transmission service intrusions. Moreover, the medical data is publicly available using cloud services, and communicated through the smart devices to specialists for evaluation and disease diagnosis. Therefore, the applicable security analysis is another key factor for any medical system. This work proposed an approach for reliable network supervision with the internet of secured medical things using ZigBee networks for a smart healthcare system (RNM-SC). It aims to improve data systems with manageable congestion through load-balanced devices. Moreover, it also increases security performance in the presence of anomalies and offers data routing using the bidirectional heuristics technique. In addition, it deals with more realistic algorithm to associate only authorized devices and avoid the chances of compromising data. In the end, the communication between cloud and network applications is also protected from hostile actions, and only certified end-users can access the data. The proposed approach was tested and analyzed in Network Simulator (NS-3), and, compared to existing solutions, demonstrated significant and reliable performance improvements in terms of network throughput by 12%, energy consumption by 17%, packet drop ratio by 37%, end-to-end delay by 18%, routing complexity by 37%, and tampered packets by 37%. Full article
(This article belongs to the Special Issue IoT-Enhancing the Industrial World)
►▼ Show Figures

Figure 1

Review

Jump to: Research

39 pages, 3085 KiB  
Review
A Systematic Review of Internet of Things Adoption in Organizations: Taxonomy, Benefits, Challenges and Critical Factors
by Sehnaz Ahmetoglu, Zaihisma Che Cob and Nor’Ashikin Ali
Appl. Sci. 2022, 12(9), 4117; https://doi.org/10.3390/app12094117 - 19 Apr 2022
Cited by 24 | Viewed by 8738
Abstract
Despite the evident growth of the Internet of Things (IoT) applications, IoT deployments in organizations remain in their early stages. This paper aims to systematically review and analyze the existing literature on IoT adoption in organizations. The extant literature was identified using five [...] Read more.
Despite the evident growth of the Internet of Things (IoT) applications, IoT deployments in organizations remain in their early stages. This paper aims to systematically review and analyze the existing literature on IoT adoption in organizations. The extant literature was identified using five electronic databases from 2015 to July 2021. Seventy-seven articles have met the eligibility criteria and were analyzed to answer the research questions. This study produced a coherent taxonomy that can serve as a framework for future research on IoT adoption in organizations. This paper presents an overview of the essential features of this emerging technology in terms of IoT adoption benefits and challenges in organizations. Existing theoretical models have been analyzed to identify the factors that influence IoT adoption and to understand the future requirements for widespread IoT adoption in organizations. Six critical factors affecting and playing a key role in IoT adoption in organizations were identified based on the critical review findings: technological, organizational, environmental, human, benefit, and value. Decision-makers and developers can prioritize these critical factors and progressively improve their development to enhance IoT adoption efficiency. This review also includes an in-depth analysis to bridge gaps and provide a comprehensive overview to further understand this research field. Full article
(This article belongs to the Special Issue IoT-Enhancing the Industrial World)
►▼ Show Figures

Graphical abstract

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-7
Back to TopTop