Advanced and Intelligent Industrial IoT Systems for Industry 5.0
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Industrial Electronics".
Deadline for manuscript submissions: 15 August 2026 | Viewed by 398
Editors
Interests: Industrial Internet of Things; wireless communication; cybersecurity
Special Issues, Collections and Topics in MDPI journals
Interests: edge computing; network intelligence; wireless networking
Special Issues, Collections and Topics in MDPI journals
Interests: industrial networks; artificial intelligence applied to industrial communication; IEEE 802.11 (Wi-Fi); wireless sensor networks; Industrial Internet of Things (IIoT)
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The Industrial Internet of Things (IIoT) remains a core technological foundation of modern industrial systems, but the transition toward Industry 5.0 demands a fundamental shift from connectivity-driven automation to cognitive, autonomous, and trustworthy industrial systems. While IIoT technologies have matured, their deployment in large-scale and mission-critical environments continues to face significant challenges related to real-time and deterministic operation, scalability, security and trustworthiness, interoperability, and the coordinated management of communication, computation, and control. Much of the existing research addresses these challenges in isolation, falling short of the holistic and system-level perspectives required by next-generation industrial systems.
This Special Issue aims to provide a focused forum for advanced research and engineering solutions that position IIoT as an enabler of intelligent, resilient, and human-aware industrial systems in the era of Industry 5.0. The scope includes next-generation IIoT architectures, advanced industrial networking, edge and distributed intelligence, data-centric automation, and AI-enabled industrial control. Particular emphasis is placed on emerging paradigms such as AI-native industrial systems, digital twins for real-time operation, trustworthy and explainable AI, time-sensitive and deterministic communication, and the convergence of communication, sensing, and computation.
The Special Issue seeks contributions that combine theoretical rigor with experimental validation and industrial relevance, promoting cross-layer and interdisciplinary approaches to address the complex requirements of cognitive and autonomous industrial systems.
Topics of interest include, but are not limited to, the following:
- AI-native Industrial IoT architectures and autonomous industrial systems;
- Edge-native artificial intelligence and federated learning for IIoT;
- Digital twins for real-time industrial monitoring, control, and optimization;
- Time-sensitive and deterministic networking for mission-critical industrial systems;
- Private 5G, beyond-5G, and 6G-ready industrial communications;
- Integrated sensing, communication, and computation in IIoT systems;
- Trustworthy, explainable, and verifiable AI for industrial automation;
- AI-driven anomaly detection, intrusion detection, and cyber resilience in IIoT;
- Large language and foundation models for reasoning and orchestration in industrial systems;
- Quantum and hybrid quantum–classical optimization for industrial IoT and cyber–physical systems.
Dr. Maryam Vahabi
Dr. Sarder Fakhrul Abedin
Dr. Stefano Scanzio
Guest Editors
Manuscript Submission Information
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Keywords
- Industrial Internet of Things (IIoT)
- Industry 5.0
- cyber–physical systems
- cognitive industrial systems
- edge intelligence
- AI and machine learning for IIoT
- industrial automation
- digital twins
- industrial cybersecurity
- smart manufacturing
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