Special Issue "Sensors for Distributed Monitoring"
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: 28 February 2023 | Viewed by 13129
Special Issue Editors
Interests: sensors; measurement uncertainty; signal processing; statistical methods; instrumentation
Interests: Measurement Science

Interests: smart sensors; measurements on power systems; smart grid; wide area measurements; signal processing; distributed measurement system; energy harvesting
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Distributed monitoring has progressively gained in popularity given the growing need for continuous measurements of large structures or regions, e.g., cultivated fields, pipelines, tunnels, and viaducts. The output of this kind of monitoring is a distribution of the physical quantity of the itme of interest (like temperature, strain, moisture, etc.) along the entire structure, or the detection and location of anomalous values of the quantity at any point of the structure.
There are basically two ways to perform distributed monitoring. The first is distributed sensing, which uses cable-like elements (e.g. ,optical fibers) sensitive at every point along their length. The second is distributed sensor networks, which use a large number of sensor nodes with wired or wireless communication to obtain the desired measurements.
This Special Issue is addressed to both types of distributed monitoring. A quality contribution should illustrate a particularly effective solution using one of the two methods and highlights the validity of the proposed methodology for general problems or for a specific application. The reason for preferring either menthod in the discussed case should be outlined.
Prof. Nicola Giaquinto
Prof. Francesco Adamo
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 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
- Distributed sensing
- Reflectometric techniques
- Sensors networks
- Sensor swarms
- IoT measurements
Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Miniaturized sensors network for the environmental measurement in cultural heritage
Authors: Livio D'Alvia, Eduardo Palermo, Zaccaria Del Prete
Affiliation: Department of Mechanical and Aerospace Engineering
University of Rome
Abstract: In the last years, environmental monitoring has represented a challenging research topic thanks to its significant impact on different applications, including cultural heritage conservation. Over the past decade, both technical and technological limits related to the bulky and costly traditional fixed-site stations for monitoring have limited their applicability in the cultural heritage field. Nowadays, wireless sensors networks play an increasingly central role thanks to their low cost, small size, and high portability. Valuable results have been achieved through electrochemical cells and digital or Analog sensors for a wide range of parameters. This study aims to provide information regarding current knowledge about miniaturized sensors networks in cultural heritage. A rational review was performed – to identify, screen, select and categorize the available technologies for environmental monitoring. Finally, we comparatively examine the performance of the different sensors their applicability in the cultural heritage field and provide an analysis of the advantages and disadvantages of each solution. The selected articles showed that sensor networks are particularly versatile can be used to supply strategy plans, exposure assessments, and risk analysis in a particular field as cultural heritage
Title: Next-generation Sensing and Artificial Intelligence-based Pavement Distress Evaluation: A Systematic Review
Authors: Eshta Ranyal1, Ayan Sadhu2, and Kamal Jain3
Affiliation: 1PhD Student, Department of Civil Engineering, IIT Roorkee, India.
2Corresponding Author: Associate Professor, Department of Civil and Environmental Engineering, Western University, London, ON, Canada, Email: [email protected]
3Professor, Department of Civil Engineering, IIT Roorkee, India.
Abstract: Pavement distress evaluation (PDE) has been a demanding strategic research area supporting a large network of transport infrastructure. With advancements in sensors, computer vision and data mining techniques along with high computing resources, several innovative pavement distress evaluation systems have been developed in recent years. The majority of these technologies employ next-generation distributed sensors and vision-based artificial intelligence (AI) methodologies to evaluate, classify and localize pavement distresses using the measured data. This paper presents, first-ever, an exhaustive and systematic literature review of these technologies in PDE and pavement monitoring by utilizing contact and noncontact sensor data. The decisive role played by smart sensors and data acquisition platforms such as smartphones, drones, vehicles integrated with non-intrusive sensors such as RGB and thermal cameras, laser and GPR sensors in the performance of the system are emphasized. A comparative evaluation of the next-generation sensors gives an insight into the evolution of the entire data acquisition, classification, segmentation, and distress localization process in terms of scalability and employability with AI methodologies. The paper also highlights the limitations of each method and their usability to complement each other’s shortcomings. The various methodologies and innovative contributions of the existing literature reviewed in this paper together with their limitations, promise a futuristic insight to researchers, practitioners, and infrastructure owners. Apart from sensing-based PDE, discussion on prevalent challenges in the development of AI technologies as well as potential areas for further exploration paves the way for an all-inclusive and well-directed futuristic research in PDE.