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Sensor Networks in Distributed Measurement Systems
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Sensor Networks in Distributed Measurement Systems

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

Deadline for manuscript submissions: closed (31 October 2021) | Viewed by 11895

Special Issue Editors

Prof. Dr. Luigi Ferrigno

E-Mail Website
Guest Editor
Department of Electrical and Information Engineering, University of Cassino and Southern Lazio, 03043 Cassino, Italy
Interests: sensor networks and distributed measurement systems; characterization of components and electrical systems; noninvasive tests in industrial fields; characterization of sensor networks for IoT and Industry 4.0; measurements methods for telecommunication devices and systems
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Domenico Capriglione

E-Mail Website
Guest Editor
Department of Industrial Engineering, University of Salerno, 84084 Fisciano (SA), Italy
Interests: distributed measurement systems with self-diagnostic capability; testing methods for measurement software characterization; metrological characterization of image-based measurement systems; measurement for the electromagnetic compatibility; measurements on telecomunication and internet based networks
Special Issues, Collections and Topics in MDPI journals
Dr. Vincenzo Paciello

E-Mail Website
Guest Editor
University of Cassino and Southern Lazio, Department of Electrical and Information Engineering, Cassino (FR), Italy
Interests: Realization of wireless interfaces for sensors and measuring instruments; realization and characterization of fiber optic temperature sensors; numerical signal processing algorithms, for real-time applications in the time and frequency domain; measurement systems based on image processing; Characterization of magnetorheological suspensions for motorcycle applications
Dr. Gianfranco Miele

E-Mail Website
Guest Editor
Department of Electrical and Information Engineering, University of Cassino and Southern Lazio, Cassino, Italy
Interests: cognitive radio communications; network emulation tool validation; software defined radios; sensors for industrial and telecommunication applications
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is aims to present both review and original research articles related to “Sensor Networks in Distributed Measurement Systems”. The Special Issue is open to contributions ranging from the proposal of new sensors for novel applications; sensor networks for distributed measurement applications; the characterization of sensor networks for industrial, IoT, medical, and other applications; and the synchronization and localization of sensors in distributed applications.

Prof. Luigi Ferrigno
Prof. Domenico Capriglione
Prof. Vincenzo Paciello
Prof G. Miele
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. 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 2600 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

  • sensors
  • sensors networks
  • distributed measurements
  • sensor network performance characterization
  • application of sensor networks

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Published Papers (3 papers)

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Research

38 pages, 8810 KiB  
Article
A Distributed Computing Solution Based on Distributed Kalman Filter for Leak Detection in WSN-Based Water Pipeline Monitoring
by Valery Nkemeni, Fabien Mieyeville and Pierre Tsafack
Sensors 2020, 20(18), 5204; https://doi.org/10.3390/s20185204 - 12 Sep 2020
Cited by 15 | Viewed by 4504
Abstract
Wireless Sensor Network (WSN) applications that favor more local computations and less communication can contribute to solving the problem of high power consumption and performance issues plaguing most centralized WSN applications. In this study, we present a fully distributed solution, where leaks are [...] Read more.
Wireless Sensor Network (WSN) applications that favor more local computations and less communication can contribute to solving the problem of high power consumption and performance issues plaguing most centralized WSN applications. In this study, we present a fully distributed solution, where leaks are detected in a water distribution network via only local collaborations between a sensor node and its close neighbors, without the need for long-distance transmissions via several hops to a centralized fusion center. A complete approach that includes the design, simulation, and physical measurements, showing how distributed computing implemented via a distributed Kalman filter improves the accuracy of leak detection and the power consumption is presented. The results from the physical implementation show that distributed data fusion increases the accuracy of leak detection while preserving WSN lifetime. Full article
(This article belongs to the Special Issue Sensor Networks in Distributed Measurement Systems)
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23 pages, 13710 KiB  
Article
Photonic Voltage Transducer with Lightning Impulse Protection for Distributed Monitoring of MV Networks
by Grzegorz Fusiek and Pawel Niewczas
Sensors 2020, 20(17), 4830; https://doi.org/10.3390/s20174830 - 26 Aug 2020
Cited by 10 | Viewed by 3374
Abstract
The design, construction and characterization of a photonic voltage transducer with a lightning impulse protection for distributed measurements on medium voltage (MV) networks (11 kV) was presented in this paper. The sensor prototype, comprising a combination of a piezoelectric transducer and a fibre [...] Read more.
The design, construction and characterization of a photonic voltage transducer with a lightning impulse protection for distributed measurements on medium voltage (MV) networks (11 kV) was presented in this paper. The sensor prototype, comprising a combination of a piezoelectric transducer and a fibre Bragg grating (FBG) as a core optical sensing element, and a dedicated lightning protection device comprising a set of reactive components, was evaluated through laboratory testing and its performance was assessed based on the accuracy requirements specified by the relevant industry standards. It was demonstrated that the sensor has the potential to meet the accuracy requirements for the 3P protection and 0.2 metering classes specified by the IEC 60044-7. The device successfully underwent lightning impulse withstand tests, satisfying the safety requirements applicable to 11 kV networks as specified by the standard. The usage of an FBG as a photonic sensing component enables the multiplexing of multiple such sensors to provide the distributed measurement of voltage along a power network. Full article
(This article belongs to the Special Issue Sensor Networks in Distributed Measurement Systems)
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10 pages, 3320 KiB  
Article
Current Measurement Transducer Based on Current-To-Voltage-To-Frequency Converting Ring Oscillator with Cascade Bias Circuit
by Jongha Park, Jung-Hyun Park and Seong-Ook Jung
Sensors 2020, 20(2), 493; https://doi.org/10.3390/s20020493 - 15 Jan 2020
Cited by 2 | Viewed by 2921
Abstract
We propose a ring oscillator (RO) based current-to-voltage-to-frequency (I–V–F) converting current transducer with a cascade bias circuit. The I–V–F converting scheme guarantees highly stable biasing against RO, with a rail-to-rail output operation. This device was fabricated using National NanoFab Center (NNFC) 180 nm [...] Read more.
We propose a ring oscillator (RO) based current-to-voltage-to-frequency (I–V–F) converting current transducer with a cascade bias circuit. The I–V–F converting scheme guarantees highly stable biasing against RO, with a rail-to-rail output operation. This device was fabricated using National NanoFab Center (NNFC) 180 nm complementary metal-oxide-semiconductor (CMOS) technology, which achieves a current resolution of 1 nA in a measurement range up to 200 nA. A noise floor of 11.8 pA/√Hz, maximum differential nonlinearity (DNL) of 0.15 in 1 nA steps, and rail-to-rail output with a 1.8 V power supply is achieved. The proposed transducer can be effectively applied to bio-sensing devices requiring a compact area and low power consumption with a low current output. The fabricated structure can be applied to monolithic-three-dimensional integration with a bio-sensing device. Full article
(This article belongs to the Special Issue Sensor Networks in Distributed Measurement Systems)
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