Software Engineering for IoT: Latest Advances and Prospects

A special issue of Applied System Innovation (ISSN 2571-5577). This special issue belongs to the section "Artificial Intelligence".

Deadline for manuscript submissions: 20 June 2024 | Viewed by 7233

Special Issue Editor


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Guest Editor
Department of Innovation Engineering, University of Salento, 73100 Lecce, Italy
Interests: web engineering; model-driven engineering applied to mobile and multi device applications; model-driven engineering applied to Internet of Things
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Internet of Things (IoT) is one of the key engines of the digital transformation. In recent years, the IoT has brought important changes and innovations across a broad spectrum of application domains that make use of cyber-physical systems: industrial Internet, smart cities, smart grids, smart cars, smart homes, smart agriculture, etc. While economic and technical issues continue to rapidly evolve, it seems that developers are unprepared for the challenge. No consolidated software engineering practices for the IoT have emerged, and so IoT systems are developed using adapted web technologies. A new generation of scalable, secure, and reactive development environments is needed for software engineering for the IoT.

In this Special Issue, we invite submissions exploring cutting-edge research and recent advances in the fields of software engineering for IoT systems. Both theoretical and experimental studies are welcome, as well as comprehensive review and survey papers.

  • IoT software platforms;
  • IoT middleware;
  • Multi-agent systems for IoT;
  • Model-driven engineering for IoT;
  • Scalable application design for the IoT;
  • Green software development for IoT;
  • Edge AI for IoT;
  • Light blockchain for IoT;
  • Cyber-physical security methods for IoT;
  • Cyber-physical security platforms for IoT.

Dr. Luca Mainetti
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. Applied System Innovation 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 1400 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.

Published Papers (3 papers)

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Research

12 pages, 714 KiB  
Article
Experimental Evaluation of an IoT-Based Platform for Maritime Transport Services
by Sandro Noto, Molka Gharbaoui, Mariano Falcitelli, Barbara Martini, Piero Castoldi and Paolo Pagano
Appl. Syst. Innov. 2023, 6(3), 58; https://doi.org/10.3390/asi6030058 - 30 May 2023
Cited by 4 | Viewed by 2585
Abstract
In recent years, the adoption of innovative technologies in maritime transport and logistics systems has become a key aspect towards their development and growth, especially due to the complex and heterogeneous nature of the maritime environment. On the other hand, Internet of Things [...] Read more.
In recent years, the adoption of innovative technologies in maritime transport and logistics systems has become a key aspect towards their development and growth, especially due to the complex and heterogeneous nature of the maritime environment. On the other hand, Internet of Things (IoT) solutions are gaining importance in the shipping industry thanks to the huge number of distributed cameras and sensors in modern ships, cargoes and sea ports, which can be exploited to improve safety, costs and productivity. This paper presents an experimental evaluation of a maritime platform, which enables a wide range of 5G-based services in the context of logistics and maritime transportation. Its core is a Narrow Band (NB)-IoT framework used to run massive IoT services on top of a hybrid terrestrial–satellite network and feed a OneM2M platform with significant data on maritime transport to develop high-level and value-added logistic applications on top. Among the many different services that could be provided by the maritime platform, we focus on the cargo-ship container tracking use case through the Global Tracking System, which allows for continuous container monitoring all over the seas in a port-to-port service scenario. The results of the experimental tests illustrate the capacity of the platform in managing the high number of messages transmitted by the container tracking devices (i.e., more than 3000) and its efficiency in limiting the average maximum latency and packet loss below 5.5 s and 0.9%, respectively. Full article
(This article belongs to the Special Issue Software Engineering for IoT: Latest Advances and Prospects)
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33 pages, 3908 KiB  
Article
Data Verification in the Agent, Combining Blockchain and Quantum Keys by Means of Multiple-Valued Logic
by Alexey Yu. Bykovsky and Nikolay A. Vasiliev
Appl. Syst. Innov. 2023, 6(2), 51; https://doi.org/10.3390/asi6020051 - 6 Apr 2023
Cited by 2 | Viewed by 1758
Abstract
Network control of autonomous robotic devices involves a vast number of secured data coding, verification, and identification procedures to provide reliable work of distant agents. Blockchain scheme provides here the model of the extended linked list for the verification of critical data, approved [...] Read more.
Network control of autonomous robotic devices involves a vast number of secured data coding, verification, and identification procedures to provide reliable work of distant agents. Blockchain scheme provides here the model of the extended linked list for the verification of critical data, approved by quasi-random hash values assigned by external network nodes. And quantum lines are the source of high-quality quasi-random keys used as hash values. Discrete multiple-valued logic in such procedures is a simple and flexible tool to form the logic linked list, combining critical internal parameters of agents with data taken from external nodes. Such combination enlarges the set of possible schemes for data protection from illegal modifications and for data restoration. Full article
(This article belongs to the Special Issue Software Engineering for IoT: Latest Advances and Prospects)
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18 pages, 4167 KiB  
Article
IoT-Aware Architecture to Guarantee Safety of Maintenance Operators in Industrial Plants
by Teodoro Montanaro, Ilaria Sergi, Ilaria Stefanizzi, Luca Landi, Luciano Di Donato and Luigi Patrono
Appl. Syst. Innov. 2023, 6(2), 46; https://doi.org/10.3390/asi6020046 - 28 Mar 2023
Cited by 3 | Viewed by 1994
Abstract
One of the most important factors that influence people’s daily lives and their well-being at work is the so-called “worker safety”. Different literature works demonstrated the positive effects on worker mood and well-being brought by the awareness of being in a safe environment [...] Read more.
One of the most important factors that influence people’s daily lives and their well-being at work is the so-called “worker safety”. Different literature works demonstrated the positive effects on worker mood and well-being brought by the awareness of being in a safe environment and, consequently, less prone to accidents. Every working environment should guarantee safety protection to employees and operators both in normal operations and extraordinary duties (e.g., maintenance operations), however, the industrial domain is the one that is more exposed to risks for workers. Different technologies already accomplished such requirements in “normal” operations, nonetheless, the literature still lacks solutions to also monitor and guide operators during exceptional and dangerous operations (e.g., maintenance). The combination of IoT and Industry 4.0 can guide the research toward the resolution of the maintenance-related exposed problems. This paper proposes an IoT-aware architecture for the industrial domain to support maintenance operators. It was designed to guide them step by step while real-time monitoring plant, machinery, and other employees working in the same area. During the maintenance procedure, the operator is guided in the proper execution of every single step required by maintenance and an autonomous IoT system monitors the status of the different parts of the plants and machinery to, then, authorize and show, the next steps foreseen in the maintenance process. To test the feasibility and usefulness of the proposed system, a prototype was developed and functionally tested through the exploitation of a machinery simulator and a real lathe machine. Full article
(This article belongs to the Special Issue Software Engineering for IoT: Latest Advances and Prospects)
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