New Applications of Wireless Sensor Networks: Focus on Structural Health Monitoring and Condition Monitoring of Industrial Machinery

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: 15 September 2025 | Viewed by 426

Special Issue Editors


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Guest Editor
Mechanical Department, Politecnico di Milano, 20156 Milano, Italy
Interests: wireless sensors network; automated machinery; rolling bears

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Guest Editor
Politecnico di Milano, Dipartimento di Meccanica, Campus Bovisa Sud, Via La Masa 1, 20156 Milano, Italy
Interests: mechatronics; actuators; wireless sensor network

Special Issue Information

Dear Colleagues,

Wireless Sensor Networks (WSNs) have emerged as a pivotal technology in modern engineering and research. Their ability to collect, process, and transmit data wirelessly has revolutionized a variety of fields, from environmental monitoring to healthcare. Among the most promising applications are the Structural Health Monitoring (SHM) and Condition Monitoring (CM) of industrial machinery. SHM involves the continuous or periodic assessment of structural integrity and performance, which is crucial for ensuring the safety and longevity of critical infrastructure such as bridges, buildings, and pipelines. Similarly, the CM of industrial machinery uses WSNs to monitor operational parameters and detect anomalies, preventing costly downtime and enhancing the operational efficiency. The integration of WSNs into SHM and CM systems offers unparalleled advantages, including cost-effective deployment, scalability, and real-time data acquisition, making them indispensable tools for modern infrastructure and industrial management.

This Special Issue aims to explore the innovative application of WSNs in the Structural Health Monitoring and Condition Monitoring of industrial machinery. Contributions will address how WSN technologies can enhance data collection, improve diagnostic accuracy, and facilitate predictive maintenance in both structural and industrial contexts. The scope of this Special Issue aligns with the journal’s focus on innovative technologies and their real-world applications. By curating a collection of research and review articles, this Special Issue seeks to advance the field and encourage interdisciplinary collaboration.

This Special Issue welcomes the submission of original research articles and comprehensive reviews whose scope includes, but is not limited to, the following topics:

  • The development of novel WSN architectures for SHM and CM applications;
  • Energy-efficient algorithms and protocols tailored for SHM and CM;
  • Integration of WSNs with machine learning and AI for predictive analytics;
  • Case studies on WSN-based SHM in bridges, buildings, and other critical structures;
  • Case studies on WSN-based CM in industrial machinery, including manufacturing, energy, and transport sectors;
  • Advances in sensor technologies and their impact on SHM and CM;
  • Wireless data transmission challenges and solutions in complex structural and industrial environments;
  • Real-time monitoring and anomaly detection using WSNs;
  • Cost–benefit analysis of WSN-based SHM and CM systems compared to traditional methods;
  • Interoperability and standardization issues in WSN-based SHM and CM systems;
  • Role of IoT and cloud computing in enhancing WSN capabilities for SHM and CM.

We look forward to receiving your contributions.

Technical Program Committee Member:

Dr. Lorenzo Bernardini Politecnico di Milano

Dr. Francesco Morgan Bono
Prof. Dr. Simone Cinquemani
Guest Editors

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Keywords

  • wireless sensor networks
  • structural health monitoring
  • condition monitoring
  • real-time monitoring
  • predictive maintenance
  • machine learning
  • energy-efficient protocols
  • IoT integration
  • anomaly detection
  • smart infrastructure

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Published Papers (1 paper)

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Research

17 pages, 4274 KiB  
Article
Quantifying the Benefits of Hybrid Energy Harvesting from Natural Sources
by Antonietta Simone, Pasquale Marino, Roberto Greco and Alessandro Lo Schiavo
Electronics 2025, 14(7), 1400; https://doi.org/10.3390/electronics14071400 - 30 Mar 2025
Viewed by 248
Abstract
The increasing demand for self-powered sensors and wireless sensor networks, particularly for environmental and structural health monitoring applications, is driving the need for energy harvesting from natural sources. To fill a gap in the scientific literature, this study quantitatively investigates the advantages of [...] Read more.
The increasing demand for self-powered sensors and wireless sensor networks, particularly for environmental and structural health monitoring applications, is driving the need for energy harvesting from natural sources. To fill a gap in the scientific literature, this study quantitatively investigates the advantages of hybrid energy harvesters, which utilize multiple energy sources, compared to single-source harvesters. The analysis leverages a real-world dataset collected from a meteorological station in Cervinara, Southern Italy. The measured data are processed to estimate the energy that can be recovered from solar, wind, and rain sources using energy harvesters designed to supply low-power electronic devices. The available energy serves as the basis for optimizing the sizing of a hybrid energy harvester that effectively integrates the aforementioned energy sources. The system sizing, carried out under the constraint of ensuring a continuous and uninterrupted power supply to the load, quantifies the benefits of using a hybrid harvester over a single-source harvester. The results show that one of the main advantages of the hybrid solution is the reduction in the size of the storage device, enabling the replacement of rechargeable batteries with supercapacitors, which offer both environmental and reliability benefits. Full article
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