Advanced Microcontrollers, Intelligent Control, and Edge Computing in Industrial IoT Ecosystems
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 October 2026 | Viewed by 76
Special Issue Editors
Interests: programming; simulation; microcontroller and embedded system; automation; robotics; sensor and AI systems
Special Issues, Collections and Topics in MDPI journals
Interests: control systems; automation and robotics; navigation; UAV
Special Issues, Collections and Topics in MDPI journals
Interests: predictive maintenance of electronic sensors/systems; failure analysis; ADAS methodology; signal processing; data analysis; positioning; localization systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid evolution of Industrial IoT is shifting the current paradigm from centralized cloud architectures toward decentralized, intelligent, edge-based solutions. This Special Issue will focus on the synergy between high-performance microcontrollers, advanced control algorithms, and edge computing to enable smarter, faster, and more efficient industrial processes. We invite contributions that explore the integration of artificial intelligence (Edge AI) and machine learning (TinyML) directly into embedded systems to enhance real-time decision-making. Furthermore, this Special Issue aims to address the challenges of connectivity, energy efficiency, and cybersecurity in modern IIoT environments. By bridging the gap between low-level hardware development and high-level intelligent control, this Special Issue will provide a platform for innovative research in applied sciences and electronics.
Topics of interest include, but are not limited to, the following:
- Next-generation microcontroller architectures for industrial automation and control.
- Edge AI and TinyML: Deploying machine learning models on resource-constrained embedded devices.
- Intelligent control systems: Advanced algorithms (fuzzy logic, neural networks, MPC) implemented on MCUs.
- Industrial IoT (IIoT) connectivity: Low-power wide-area networks (LPWAN), 5G, and TSN in industrial settings.
- Edge computing in Industry 4/5.0: Distributed processing and real-time data analytics.
- Cybersecurity for edge devices: Hardware-based security, encryption, and secure firmware updates (OTA).
- Energy-efficient embedded systems: Power management and energy harvesting for IIoT nodes.
- Virtualization at the edge: Lightweight containerization and orchestration for industrial gateways.
- Digital twins and IIoT: Integrating physical sensors with virtual models through edge processing.
You may choose our Joint Special Issue in Electronics.
Dr. Gabriel Gaspar
Dr. Vojtech Simak
Prof. Dr. Damian Grzechca
Guest Editors
Manuscript Submission Information
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Keywords
- microcontrollers (MCUs)
- industrial IoT (IIoT)
- edge computing
- intelligent control
- edge AI/TinyML
- embedded systems
- real-time data processing
- cyber–physical systems (CPSs)
- network security
- Industry 4/5.0
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