Industrial IoT: From Theory to Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 10 April 2025 | Viewed by 4043
Special Issue Editors
Interests: Internet-of-Things network management of computing; machine learning; industrial 5G; wireless networking
Special Issue Information
Dear Colleagues,
The forthcoming evolution of the Industrial Internet of Things (IIoT) will be characterized by advancements in intelligent communication and computational systems. These systems will revolutionize network management to improve operational efficacy and dependability across diverse industrial automation sectors. The forefront of this transformative era is marked by the advent of sophisticated technologies such as network digital twins and self-organizing networks, facilitating a paradigm shift to autonomously managed networks. These innovations are instrumental in diminishing the reliance on manual intervention by enabling networks to self-configure, self-optimize, and self-repair.
At the core of this evolution lies the strategic integration of explainable artificial intelligence (AI) and machine learning (ML) within network frameworks. This integration will pave the way for an era of explainable, trustworthy, and transparent self-sufficient networks capable of self-directed adaptation and optimization. This strategic deployment will ensure immediate and proficient fulfillment of computational and communication needs.
This Special Issue thoroughly explores forward-thinking strategies for network load management and the integration of the edge-to-cloud continuum. It aims to enhance network performance while prioritizing energy efficiency and latency reduction—crucial components for robust IIoT operations. It also addresses the re-engineering of routing protocols to accommodate industrial applications' diverse and fluctuating needs and highlights edge computing's pivotal role in distributing data processing, thus strengthening network autonomy and reducing delays.
Furthermore, predictive network analytics is recognized as crucial in forestalling and addressing network discrepancies and playing a crucial role in sustaining uninterrupted operations. The concept of network slicing is investigated for its ability to furnish customizable and effective network services that align precisely with industrial requirements.
This narrative extends to include the integration of 5G/6G technologies, which are poised to make a profound impact on IIoT. These next-generation wireless networks promise to bring unprecedented levels of flexibility and scalability, driving forward the creation of an extensive, intelligent, and interconnected industrial fabric.
The discourse concludes with an assessment of the potential impact of O-RAN-based architectures on IIoT. These architectures are expected to deliver unparalleled levels of adaptability and scalability, contributing to the cultivation of a more expansive, intelligent, and interconnected industrial ecosystem.
Submissions for this Special Issue are sought to bridge the gap between theoretical innovation and practical application in the field of IIoT, providing insights that will contribute to the collective understanding of IIoT’s evolution. The shared knowledge is intended to advance the industry towards an autonomous and self-regulating industrial future.
Dr. Sarder Fakhrul Abedin
Dr. Nishat I Mowla
Guest Editors
Manuscript Submission Information
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Keywords
- digital twin
- self-organizing networks (SONs)
- cloud–edge continuum
- predictive maintenance and network analysis
- zero-touch network management
- explainable and trustworthy AI/ML in the IIoT
- intelligent 5G/6G network slicing and resource management
- O-RAN for IIoT
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