Electronic Sensors, Devices, and Artificial Intelligence-Based Technologies for Industry 4.0 and the IoT
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Electronic Sensors".
Deadline for manuscript submissions: 20 November 2026 | Viewed by 272
Special Issue Editors
Interests: electronic systems; sensor systems; digital electronics; embedded systems; thermographic analysis on biomedical and industrial applications and devices; NDT; material for biomedical applications; sensors; thermography; IoT
Special Issues, Collections and Topics in MDPI journals
Interests: electrical engineering; computational electromagnetics; electromagnetic theory; metamaterials; microwave engineering; surrogate modeling; soft computing; NDT/E
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Electronic sensors and measurement devices constitute the technological backbone of Industry 4.0 and the Internet of Things (IoT), enabling pervasive monitoring, automation, and data-driven decision-making across industrial, environmental, and biomedical domains. The rapid proliferation of connected sensor nodes, embedded systems, and cyber–physical infrastructures has led to an unprecedented growth in heterogeneous measurement data, raising critical challenges related to accuracy, reliability, scalability, and real-time interpretation. In this evolving landscape, conventional sensing and signal processing approaches are often insufficient to cope with complex operating conditions, system nonlinearity, and dynamic environments.
Artificial intelligence (AI)-based technologies are increasingly being adopted to enhance the performance and functionality of electronic sensors and measurement systems. When integrated with sensing devices, data acquisition electronics, and communication architectures, AI enables advanced signal processing, sensor fusion, anomaly detection, predictive analytics, and adaptive system behavior. These capabilities are particularly relevant within Industry 4.0 and IoT ecosystems, where intelligent sensors are required to operate autonomously, support real-time monitoring, and ensure robustness and traceability throughout the system lifecycle. The convergence of electronic sensing technologies and AI, thus, represents a key enabler for smart manufacturing, digital healthcare, environmental monitoring, and next-generation industrial automation.
This Special Issue will present and disseminate recent advances in electronic sensors, devices, and AI-based technologies for Industry 4.0 and IoT applications. It will gather high-quality contributions addressing innovative sensor designs, intelligent measurement architectures, and data-driven methodologies that enhance sensing, signal acquisition, and information extraction. Both theoretical and applied studies are welcome, including novel algorithms, system-level implementations, experimental validations, and real-world case studies. Interdisciplinary research combining electronics, sensing, artificial intelligence, and application-oriented perspectives is particularly encouraged.
Topics of interest for this Special Issue include, but are not limited to, the following:
- Electronic sensors and devices for Industry 4.0 and IoT systems;
- AI-driven signal processing and intelligent measurement techniques;
- Sensor fusion and data integration in distributed IoT architectures;
- Embedded and edge AI for real-time sensing and monitoring;
- Predictive maintenance and condition monitoring using sensor data;
- Self-calibrating, adaptive, and fault-tolerant sensor systems;
- Smart sensing solutions for industrial, environmental, and biomedical applications;
- Measurement reliability, uncertainty analysis, and traceability in AI-enhanced sensor systems.
This Special Issue aims to provide a comprehensive overview of emerging trends and technological advances at the intersection of electronic sensing, artificial intelligence, and Industry 4.0/IoT paradigms, contributing to the development of intelligent, reliable, and scalable monitoring systems.
Dr. Filippo Laganà
Dr. Giovanni Angiulli
Guest Editors
Manuscript Submission Information
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Keywords
- electronic sensors
- smart sensing systems
- artificial intelligence in sensing
- industry 4.0
- internet of things (IoT)
- intelligent measurement systems
- sensor fusion
- edge and embedded AI
- predictive monitoring
- cyber–physical systems
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