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Special Issue "Sensors and Real Time Systems for IIoT"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: 31 January 2021.

Special Issue Editors

Prof. Dr. Nicoleta Cristina Gaitan
Website
Guest Editor
Computers Department, Stefan cel Mare University of Suceava, Suceava, ROMANIA
Interests: Industrial Internet of Things, Smart Cities, data acquisition, distributed systems, embedded systems, FPGA systems
Prof. Dr. Ioan Ungurean
Website
Guest Editor
Stefan cel Mare University of Suceava, Romania
Interests: real time systems, embedded systems, Industrial Internet of Things, fieldbuses, operating systems
Prof. Dr. Adrian-Ioan Petrariu
Website
Guest Editor
Stefan cel Mare University of Suceava, Romania
Interests: RFID systems, antenna design, impedance matching circuits, and wireless communication (ZigBee, Bluetooth, LoRa, SigFox, and the NB-IoT

Special Issue Information

Dear Colleagues,

In recent years, with the development of the Internet of Things (IoT) concept, the term Industrial Internet of Things (IIoT) has been defined for the use of IoT in an industrial environment. Industrial Internet of Things is a subset of the Internet of Things that it used to achieve an efficient and intelligent manufacturing process. The IIoT uses intelligent sensors, sensors network (fieldbuses), and embedded systems with hard and soft real-time capabilities in order to provide services to the business processes and personnel. The main challenges in the development of IIoT solutions are hard real-time requirements for industrial filed, new network capabilities, scalability, manageability, security, and the large number of fieldbuses used in the industrial field.

This Special Issue requests the submission of high-quality and original papers that aim to solve the open technical problems and challenges typical of the real-time systems based on intelligent sensors used for IIoT. Topics of interest include but are not limited to the following:

  • New trends in real-time systems, Intelligent sensors and IIoT
  • New paradigms, concepts and architectures
  • Sensor networks and smart computing
  • Heterogeneous IIoT networks
  • Cellular IoT technologies (NB-IoT, LTE Cat-M1)
  • Middleware, architectures, and protocols for IIoT
  • 5G for IIoT
  • LPWAN for IIoT (Sigfox, LoRa, NB-FI, etc.)
  • Fog/edge computing for IIoT
  • Fieldbuses and IIoT
  • Intelligent IIoT management and networking services
  • Trustworthiness, security, and privacy for IIoT
  • Real-time systems for IIoT
  • Intelligent sensors for IIoT
  • Applications and examples of use
Prof. Dr. Nicoleta Cristina Gaitan
Prof. Dr. Ioan Ungurean
Prof. Dr. Adrian-Ioan Petrariu
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 papers will be 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. Sensors 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 2000 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 (1 paper)

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Research

Open AccessArticle
Exploiting the RSSI Long-Term Data of a WSN for the RF Channel Modeling in EPS Environments
Sensors 2020, 20(11), 3076; https://doi.org/10.3390/s20113076 - 29 May 2020
Abstract
In this paper, we propose a methodology to use the received signal strength indicator (RSSI) available by the protocol stack of an installed Wireless Sensor Network (WSN) at an electric-power-system environment (EPS) as a tool for obtaining the characteristic of its communication channel. [...] Read more.
In this paper, we propose a methodology to use the received signal strength indicator (RSSI) available by the protocol stack of an installed Wireless Sensor Network (WSN) at an electric-power-system environment (EPS) as a tool for obtaining the characteristic of its communication channel. Thereby, it is possible to optimize the settings and configuration of the network after its deployment, which is usually run empirically without any previous knowledge of the channel. A study case of a hydroelectric power plant is presented, where measurements recorded over a two-month period were analyzed and treated to obtain the large-scale characteristics of the radiofrequency channel at 2.4 GHz. In addition, we showed that instantaneous RSSI data can also be used to detect specific issues in the network, such as repetitive patterns in the transmitted power level of the nodes, and information about its environment, such as the presence of external sources of electromagnetic interference. As a result, we demonstrate the practical use of the RSSI long-term data generated by the WSN for its own performance optimization and the detection of particular events in an EPS or any similar industrial environment. Full article
(This article belongs to the Special Issue Sensors and Real Time Systems for IIoT)
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