Advanced Resonant Sensors and Signal Processing Techniques for IoT-Enabled Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 3841
Special Issue Editors
Interests: wireless sensor networks; internet of things; signal processing for telecommunications and biomedical applications
Special Issues, Collections and Topics in MDPI journals
Interests: sensor development and characterization; sensor- based measurement systems; microwave characterization; biomedical sensors; gas sensor for health care and environmental monitoring
Special Issues, Collections and Topics in MDPI journals
Interests: characterization and modeling of microwave transistors for wireless applications; microwave sensors for bioengineering applications; surface acoustic wave sensors
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Nowadays, resonant sensors based on Surface Acoustic Wave (SAW) and Bulk Acoustic Wave (BAW) devices are key components in several telecommunication systems and Internet of Things (IoT) applications. In particular, they are used in wireless sensor networks for environmental monitoring (where the sensitivity of their piezoelectric substrate materials are exploited for measurements of physical parameters such as temperature, stress, and strain), as high-performance band pass filters in wireless communication transceivers (with more than 3 billion SAW filters manufactured every year and used in radio receivers for mobile cell phones, base stations, and RF front ends), as low-cost and small-footprint chemical and biochemical sensors in industry, automotive, and health care applications (where they are employed, for instance, in the development of gas and VOCs sensors, by depositing nanostructured sensing materials on the electrodes) and, more recently, in advanced medical instruments based on microfluidics, where they are used to pump and drive liquids and for enabling high-precision control of the liquid flow.
In all these contexts, signal processing techniques and machine learning algorithms can be used to improve performance and increase the number of applications of such as devices in real IoT scenarios.
The aim of this Special Issue is to publish high-quality research papers as well as review articles addressing recent advances ion IoT applications based on resonant devices and sensors and, at the same time, to provide an opportunity for researchers to publish their latest research and developments in this context, including design, modelling, characterization, and signal processing techniques for resonant devices.
Prof. Dr. Giuseppe Campobello
Prof. Dr. Nicola Donato
Prof. Dr. Giovanni Crupi
Guest Editors
Manuscript Submission Information
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Keywords
- Signal processing and machine learning techniques applied to resonant sensors
- Resonant devices for wireless communications transceivers and telecommunication applications
- Health care applications based on resonant sensors
- Resonant sensors for industrial and automotive applications
- Development and characterization of resonant sensors
- Design and modeling of resonant devices for IoT applications
