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Smart Sensors and Devices: Recent Advances and Applications Second Edition

A special issue of Applied Sciences (ISSN 2076-3417).

Deadline for manuscript submissions: closed (30 May 2025) | Viewed by 618

Special Issue Editor


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Guest Editor
School of Engineering, Macquarie University, Sydney, NSW 2109, Australia
Interests: drones; robots; swarm drones; swarm robotics; IoT; smart sensors; mechatronics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Sensors play an important role and are the brains and hearts of intelligent systems, such as unmanned aerial vehicles, autonomous guided vehicles, drones, and mobile robots. With the development of nanomaterials, advanced signal processing techniques, smart interfacing electronics, low-power embedded processors, long-range communication technologies, and multidisciplinary interactions, increasingly more smart sensors and devices are being proposed and fabricated under increasing demands from homes, the industry, the environment, and military fields. This Special Issue will report on the development of the above technologies and different applications including, but not limited to, the following:

  • Smart sensors;
  • Sensing technology;
  • Wireless sensors;
  • Smart devices;
  • IoT sensors and devices;
  • Intelligent processing;
  • Machine learning;
  • Artificial intelligence;
  • Smart homes;
  • Smart environments;
  • Healthcare;
  • Environmental monitoring;
  • Industrial applications.

You may choose our Joint Special Issue in Applied System Innovation.

Prof. Dr. Subhas Mukhopadhyay
Guest Editor

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. Applied Sciences 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

  • smart sensors
  • sensing technology
  • wireless sensors
  • smart devices
  • IoT sensors and devices
  • intelligent processing
  • machine learning
  • artificial intelligence
  • smart homes
  • smart environments
  • healthcare
  • environmental monitoring
  • industrial applications

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Published Papers (1 paper)

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Review

51 pages, 3102 KiB  
Review
Integration of AI in Self-Powered IoT Sensor Systems
by Cosmina-Mihaela Rosca and Adrian Stancu
Appl. Sci. 2025, 15(13), 7008; https://doi.org/10.3390/app15137008 - 21 Jun 2025
Viewed by 344
Abstract
The acceleration of digitalization has caused an increase in demand for autonomous devices. In this paper, the technologies of artificial intelligence (AI), and especially machine learning (ML), integrated into applications that use self-powered Internet of Things (IoT) sensors are analyzed. The study addresses [...] Read more.
The acceleration of digitalization has caused an increase in demand for autonomous devices. In this paper, the technologies of artificial intelligence (AI), and especially machine learning (ML), integrated into applications that use self-powered Internet of Things (IoT) sensors are analyzed. The study addresses the issue of the lack of a standardized classification of IoT domains and the uneven distribution of AI integration in these domains. The systematic bibliometric analysis of the scientific literature between 1 January 2020 and 30 April 2025, using the Web of Science database, outlines the seven main areas of IoT sensor usage: smart cities, wearable devices, industrial IoT, smart homes, environmental monitoring, healthcare IoT, and smart mobility. The thematic searches highlight the consistent number of articles in the health sector and the underrepresentation of other areas, such as agriculture. The study identifies that the most commonly used sensors are the accelerometer, electrocardiogram, humidity sensor, motion sensor, and temperature sensor, and analyzes the performance of AI models in self-powered systems, identifying accuracies that can reach up to 99.92% in medical and industrial applications. The conclusions drawn from these results underscore the need for an interdisciplinary approach and detailed exploration of ML algorithms to be adapted to the hardware infrastructures of autonomous sensors. The paper proposes future research directions to expand AI’s applicability in developing systems that integrate self-powered IoT sensors. The paper lays the groundwork for future projects in this field, serving as a reference for researchers who wish to explore these areas. Full article
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