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Sensor Networks for Dependable Monitoring of Critical Applications

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

Deadline for manuscript submissions: closed (14 July 2021) | Viewed by 3506

Special Issue Editors


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Guest Editor
Department of Engineering, University of Messina, Messina, Italy
Interests: reliability and availability analysis of distributed systems; wireless sensor networks; algorithms for management of opportunistic access in cognitive radio systems; algorithms for solution of non Markovian stochastic Petri net; phase type distributions; software performance evaluation techniques especially applied to distributed systems
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Engineering, University of Messina, Messina, Italy
Interests: signal processing; speech coding and recognition; biomedical signal processing; biometric identification; signal processing for telecommunications; wireless mesh network; voice transmission over IP; wireless sensor nodes
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Internet of Things (IoT) represents the new frontier of industrialization. Each "thing" within the network is uniquely identified by an individual Internet address, is accessible via the Internet and is able to interact with information systems.

By its definition, the IoT is a direct consumer technology while the Industrial IoT is its use in industrial environments, or what is called "Industry 4.0." Industry 4.0 (IIoT) creates opportunities for companies, production plants and also for entire sensor networks. Even more than in applications aimed at a common user, industrial applications are critical because it is necessary to guarantee high levels of reliability, performance, availability and security, of both the infrastructures and the data. Moreover, it is mandatory to guarantee a high level of safety for involved humans.

This Special Issue aims to gather innovative theoretical and practical contributions that highlight solutions with a high degree of dependability in critical applications of Industry 4.0 based on sensor networks, with particular reference to environmental monitoring, but not limited to it. Also within the scope of this Special Issue are research articles that present innovative and efficient techniques for assessing dependability in the reference context.

In this Special Issue, we are interested in high-quality submissions that mainly highlight dependable approaches for critical applications involving the use of sensor networks especially when used in industrial environments. Topics of interest include but are not limited to the following:

  • Industrial IoT
  • dependable sensor networks
  • algorithms for dependable critical applications
  • dependable infrastructures for critical applications
  • effective technique for dependability evaluation
  • protocols for dependable applications
  • dependable sensor networks architectures
  • dependable routing in sensor networks
  • dependable wireless connectivity in sensor networks

Dr. Scarpa Marco
Dr. Salvatore Serrano
Guest Editors

Manuscript Submission Information

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Published Papers (1 paper)

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Research

16 pages, 1083 KiB  
Article
Experiment Control and Monitoring System for LOG-a-TEC Testbed
by Grega Morano, Andrej Hrovat, Matevž Vučnik, Janez Puhan, Gordana Gardašević, Dragan Vasiljević and Tomaž Javornik
Sensors 2021, 21(19), 6422; https://doi.org/10.3390/s21196422 - 26 Sep 2021
Cited by 2 | Viewed by 2639
Abstract
The LOG-a-TEC testbed is a combined outdoor and indoor heterogeneous wireless testbed for experimentation with sensor networks and machine-type communications, which is included within the Fed4FIRE+ federation. It supports continuous deployment principles; however, it is missing an option to monitor and control the [...] Read more.
The LOG-a-TEC testbed is a combined outdoor and indoor heterogeneous wireless testbed for experimentation with sensor networks and machine-type communications, which is included within the Fed4FIRE+ federation. It supports continuous deployment principles; however, it is missing an option to monitor and control the experiment in real-time, which is required for experiment execution under comparable conditions. The paper describes the implementation of the experiment control and monitoring system (EC and MS) as the upgrade of the LOG-a-TEC testbed. EC and MS is implemented within existing infrastructure management and built systems as a new service. The EC and MS is accessible as a new tab in sensor management system portal. It supports several commands, including start, stop and restart application, exit the experiment, flash or reset the target device, and displays the real-time status of the experiment application. When nodes apply Contiki-NG as their operating system, the Contiki-NG shell tool is accessible with the help of the newly developed tool, giving further experiment execution control capabilities to the user. By using the ZeroMQ concurrency framework as a message exchange system, information can be asynchronously sent to one or many devices at the same time, providing a real-time data exchange mechanism. The proposed upgrade does not disrupt any continuous deployment functionality and enables remote control and monitoring of the experiment. To evaluate the EC and MS functionality, two experiments were conducted: the first demonstrated the Bluetooth Low Energy (BLE) localization, while the second analysed interference avoidance in the 6TiSCH (IPv6 over the TSCH mode of IEEE 802.15.4e) wireless technology for the industrial Internet of Things (IIoT). Full article
(This article belongs to the Special Issue Sensor Networks for Dependable Monitoring of Critical Applications)
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