Integrated Sensing Techniques for IoT Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: closed (25 February 2024) | Viewed by 1410
Special Issue Editor
Interests: sensor fusion; intelligent transportation systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Integrated sensing techniques play an essential role in modern daily life, due to the widespread diffusion of devices and technologies applied to Internet of Things technologies.
The application fields include healthcare, autonomous vehicles, intelligent transportation systems, image processing, power engineering, energy, home automation, industry, robotics, automated guided vehicles in manufacturing lines, machine learning, industry automation, etc.
To date, the research carried out in this field has addressed the design and implementation of integrated sensing techniques for IoT applications using already available technologies or low-cost sensors. Sensor fusion and statistical signal processing is a key element for further advances in the field and presents exciting challenges for signal processing practitioners and researchers.
Due to the large variety of technologies and standards involved, integrated sensing techniques for IoT applications need to account for several technologies such as filtering, Kalman, Bayesian filtering, system identification, machine learning, etc.
In this Special Issue, entitled “Integrated Sensing Techniques for IoT Applications”, we encourage the submission original research addressing the fundamental knowledge within this field, supporting technologies, and technical issues. Topics of interest include both cover design and analysis and concerns related to the realization and implementation of integrated sensing techniques for IoT applications.
This Special Issue of Sensors aims to publish novel results on the most recent developments related to integrated sensing techniques for IoT applications, emphasizing the integration of various technologies with the aim of reaching improved performances.
Dr. Guido De Angelis
Guest Editor
Manuscript Submission Information
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Keywords
- Internet of Things
- sensor fusion
- filtering
- machine learning
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