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Internet of Things (IoT) Sensing Systems for Engineering Applications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: 15 May 2025 | Viewed by 1583

Special Issue Editors


E-Mail Website
Guest Editor
Department of Engineering, University of Messina, Messina, Italy
Interests: wireless sensor networks; internet of things; signal processing for telecommunications and biomedical applications
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Engineering, University of Messina, Messina, Italy
Interests: Internet of Things protocols; Industrial wireless sensor networks; LPWAN and LRWPAN protocols; automotive communications

Special Issue Information

Dear Colleagues,

The expansion of the Internet of Things (IoT) technology continues to permeate our daily lives, leading to big advances in various sectors. In particular, the advent of IoT sensing systems has opened the door to a wide range of services and innovative applications, contributing to an increase in efficiency, productivity, and sustainable developments. Such advancements also highlight the pressing need for rigorous scientific research in this field, considering the multitude of implications that these systems may have in engineering applications.

The aim of this Special Issue is to publish high-quality research papers as well as review articles addressing recent advances in IoT sensing systems. We invite researchers to contribute to the exploration of the broad spectrum of IoT sensing systems, including but not limited to sensor technology, measurement systems, wireless sensor networks, real-time communication and monitoring for industrial environments, LPWAN networks, reliable communications, healthcare monitoring, automotive communication, and their integration with other IoT components. Furthermore, this issue intends to explore the fundamental concept behind these systems, focusing on novel methodologies, algorithms, application protocols, compression protocols, solutions for time-sensitive communications applied to IoT, peer-to-peer hybrid networking, reliable and fault-tolerant communications. 

Finally, in light of the crucial role that reliability and accuracy play in engineering applications, contributions related to the metrology of sensors and measurement systems are particularly welcome. This includes, among others, discussions on IoT sensors calibration and the role of metrology in ensuring the reliability and accuracy of IoT sensing systems.

Topics of interest include, but are not limited to:

  • Wireless sensor networks;
  • IoT application (industrial, healthcare, structural and environmental monitoring);
  • LPWAN communication protocols;
  • LR-WPAN wireless technologies (Bluetooth, IEEE 802.15.4);
  • IoT architectures and frameworks for sensing;
  • Sensing and measurement systems;
  • Sensor calibration techniques and procedures.

Dr. Giuseppe Campobello
Dr. Filippo Battaglia
Dr. Giovanni Gugliandolo
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 2600 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

  • IoT applications and protocols
  • wireless sensor networks
  • sensing systems
  • sensors metrology
  • measurement systems
  • sensors technologies
  • sensor calibration techniques and procedures

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Published Papers (1 paper)

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Research

15 pages, 2408 KiB  
Article
Estimating Indicators for Assessing Knee Motion Impairment During Gait Using In-Shoe Motion Sensors: A Feasibility Study
by Kazuki Ihara, Chenhui Huang, Fumiyuki Nihey, Hiroshi Kajitani and Kentaro Nakahara
Sensors 2024, 24(23), 7615; https://doi.org/10.3390/s24237615 - 28 Nov 2024
Cited by 1 | Viewed by 759
Abstract
Knee joint function deterioration significantly impacts quality of life. This study developed estimation models for ten knee indicators using data from in-shoe motion sensors to assess knee movement during everyday activities. Sixty-six healthy young participants were involved, and multivariate linear regression was employed [...] Read more.
Knee joint function deterioration significantly impacts quality of life. This study developed estimation models for ten knee indicators using data from in-shoe motion sensors to assess knee movement during everyday activities. Sixty-six healthy young participants were involved, and multivariate linear regression was employed to construct the models. The results showed that eight out of ten models achieved a “fair” to “good” agreement based on intra-class correlation coefficients (ICCs), with three knee joint angle indicators reaching the “fair” agreement. One temporal indicator model displayed a “good” agreement, while another had a “fair” agreement. For the angular jerk cost indicators, three out of four attained a “fair” or “good” agreement. The model accuracy was generally acceptable, with the mean absolute error ranging from 0.54 to 0.75 times the standard deviation of the true values and errors less than 1% from the true mean values. The significant predictors included the sole-to-ground angles, particularly the foot posture angles in the sagittal and frontal planes. These findings support the feasibility of estimating knee function solely from foot motion data, offering potential for daily life monitoring and rehabilitation applications. However, discrepancies in the two models were influenced by the variance in the baseline knee flexion and sensor placement. Future work will test these models on older and osteoarthritis-affected individuals to evaluate their broader applicability, with prospects for user-tailored rehabilitation applications. This study is a step towards simplified, accessible knee health monitoring through wearable technology. Full article
(This article belongs to the Special Issue Internet of Things (IoT) Sensing Systems for Engineering Applications)
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