Guest Editors
Prof. Paolo Visconti
Email: paolo.visconti@unisalento.it
Affiliation: Department of Innovation Engineering, University of Salento, Lecce, 73100, Italy
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Research Interests: design of IoT electronic solutions for data acquisition and monitoring, wireless sensor network (WSN) design and related applications, biosignals' acquisition and processing, energy harvesting for sensor nodes and wearable applications, new devices and sensors for body area network (BAN) and healthcare applications
Prof. Roberto de Fazio
Email: roberto.defazio@unisalento.it
Affiliation: Department of Innovation Engineering, University of Salento, Lecce, 73100, Italy
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Research Interests: energy harvesting systems applied to the human body, signal processing for biomedical applications, microcontroller-based boards, and wireless sensor networks for industrial and healthcare applications
Summary
Wireless Sensor Networks (WSNs) play a crucial role in the IoT paradigm, enabling real-time monitoring through distributed sensors. WSNs are based on communication technologies (WiFi, Bluetooth, LoRa, Zigbee, etc.) and on-site or cloud data processing by machine- and deep-learning algorithms. Their importance lies in their ability to provide detailed information promoting innovative applications in different sectors. The Special Issue focuses on WSN-based monitoring of workplaces, industrial processes, and complex plants. Safeguarding workers' health is a priority; wearable devices monitor physiological parameters, enabling early detection of risk factors and preventing adverse events. WSNs in industrial fields allow acquiring all interest parameters to avoid process errors that lead to increased costs and low-quality products. Workplaces enjoy the benefits of WSNs through real-time monitoring to improve safety, efficiency, and resource management. Of particular interest are Unmanned Aerial Vehicles (UAVs) such as drones, which, using cameras, sensors, and embedded ML/DL algorithms, can detect defects, malfunctions, and damage to infrastructure or plants, thus optimizing operational efficiency, costs, and product quality by continuous analysis and immediate feedback.
Potential topics include, but are not limited to:
• Enhancing environmental conditions for greater safety and efficiency in the workplace.
• Machine Learning and Deep Learning techniques for acquired data processing.
• WSN-based IoT architectures for monitoring and managing industrial processes.
• WSN-based real-time plant monitoring for predictive maintenance, energy efficiency, and cost reduction.
• WSN-based healthcare monitoring and wearable sensor technologies.
• Evacuation and warning of WSN-based systems for safety and health in the workplace.
• Image processing algorithms for fault and malfunction detection.
Keywords
wireless sensor networks (WSNs), internet of things (IoTs), AI algorithms, process monitoring, scalability, wearable device, health monitoring, predictive maintenance
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