Special Issue "Internet of Things for Structural Health Monitoring"
Deadline for manuscript submissions: 31 August 2020.
Interests: measurements; structural health monitoring; noninvasive monitoring; distributed monitoring; Internet of Things; time synchronization; wireless sensor network; signal processing; image processing; human health monitoring
Interests: measurements; structural health monitoring; noninvasive monitoring; distributed monitoring; Internet of Things; numerical analysis; cultural heritage; experimental analysis on construction materials; mechanical characterization of materials; genetic algorithm
Interests: measurements; structural health monitoring; noninvasive monitoring; distributed monitoring; Internet of Things; time synchronization; wireless sensor network; signal processing; automatic classifiers
The Internet of Things (IoT) is emerging as an important technology for monitoring systems, and it is crucial in the framework of structural health monitoring for modern and ancient structures (new and cultural heritage buildings, bridges, roads, dikes, walls, monuments, and so on). This Special Issue aims to highlight advances in the open research topics in this field, which include, but are not limited to, the following:
- IoT-based distributed data acquisition systems for structural health monitoring;
- Development, modeling, testing, and metrological characterization of sensors, smart measurement instruments, and smart objects for non-invasive or semi-invasive structure monitoring;
- Compressive sensing;
- Communication network design and optimization;
- Energy saving and energy harvesting methods and techniques;
- Synchronization methods and techniques for signals and data acquisition systems;
- Data collection and management methods (big data and data retrieval);
- Automatic classifiers for danger detection, alarm generation, automatic scheduling of inspections, and maintenance activities;
- New numerical models describing the structural behavior of buildings and structures.
Prof. Dr. Francesco Lamonaca
Dr. Carmelo Scuro
Dr. Domenico Luca Carnì
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.
- IoT for structural health monitoring
- Non-invasive monitoring
- Semi-invasive monitoring
- Nondestructive testing
- Sensors for structural health
- Compressive sensing
- Measurement methods for structural health
- Distributed measurement systems for structural health monitoring
- Synchronization of signals, smart objects, and devices
- Wireless sensor networks
- Structural health monitoring of cultural heritage buildings and sites
- Energy saving
- Energy harvesting
- Post-seismic and pre-seismic evaluation protocols
- Big data
- Data retrieval
- Automatic classifiers
- Artificial intelligence
- Cultural heritage monitoring
- Numerical analysis
- Genetic algorithm