Next‑Generation Sensor Systems Integrating AI and IoT for Smart Environments
A Special Issue of Sensors (ISSN 1424-8220) belonging to the section "Intelligent Sensors".
Deadline for manuscript submissions: 30 November 2026 | Viewed by 282
Editors
Interests: artificial intelligence for smart infrastructures
Special Issues, Collections and Topics in MDPI journals
Interests: applied physics; nuclear physics; environmental monitoring
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue focuses on emerging sensing technologies and sensor‑driven architectures that integrate Artificial Intelligence (AI) and the Internet of Things (IoT) to enable the next generation of smart environments. As sensor networks become increasingly dense, heterogeneous, and interconnected, new opportunities arise for real‑time perception, context awareness, and autonomous decision‑making across domains such as health and indoor pollution management, smart cities, smart buildings, environmental monitoring, structural monitoring, industrial IoT, and precision agriculture.
We invite contributions that advance the design, deployment, and evaluation of sensor‑based systems enhanced by AI techniques. Topics of interest include innovative sensing modalities, low‑power and energy‑efficient sensor nodes, intelligent sensor networks, multimodal sensing, and architectures that seamlessly integrate sensing, communication, and computation. We also welcome research on data‑driven methods for sensor calibration, anomaly detection, predictive maintenance, and robust operation in dynamic or resource‑constrained environments.
Dr. Alessia Saggese
Dr. Michele Guida
Dr. Simona Mancini
Guest Editors
Manuscript Submission Information
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Keywords
- advanced sensing technologies for smart cities, smart buildings, industry, and environmental monitoring
- intelligent sensor networks integrating AI‑driven perception, inference, and decision‑making
- edge and fog computing for sensor data processing, including low‑latency and energy‑efficient architectures
- multimodal and heterogeneous sensor fusion for robust context awareness
- AI‑enhanced signal processing for noise reduction, feature extraction, and real‑time analytics
- novel sensor designs, including low‑power, self‑powered, and energy‑harvesting sensor nodes
- IoT‑enabled sensing platforms for large‑scale, distributed smart environments
- machine learning and deep learning for sensor data, including anomaly detection, forecasting, and adaptive control
- digital twins and virtual sensing for monitoring and optimization of smart environments
- cybersecurity and privacy in sensor‑rich IoT systems, including secure sensing and trustworthy AI
- sensor calibration, reliability, and maintenance supported by predictive and prescriptive analytics
- human‑centric sensing for ambient intelligence, assisted living, and behavioral monitoring
- applications of sensor‑AI‑IoT integration in precision agriculture, environmental sustainability, transportation, and industrial automation
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