The utilization of the Internet of Things (IoT) to enhance connectivity among objects, services, and individuals for smarter operational management has been explored and implemented across various sectors including smart cities, energy management, healthcare, food and water supply, logistics, retail, and transportation. However, the application of IoT in the industrial automation sector is less documented, especially concerning its capacity for reliable and collaborative operations. This includes the challenges of fostering scalable interactions among diverse devices and systems, ensuring predictable and fault-tolerant real-time operations, and integrating advanced service functionalities from edge computing devices up to cloud-based infrastructures. In this paper, we aim to elucidate the specific constraints related to quality attributes within the field of industrial automation. We will outline the distinct challenges posed by these constraints in the industrial IoT landscape and propose how various technical strategies can address these issues. Our discussion will cover the potential of these solutions to enhance the robustness, efficiency, and intelligence of automation systems, thus enabling more effective integration of IoT technologies in industrial settings. This exploration not only contributes to a deeper understanding of industrial IoT applications but also opens pathways for future innovations in this critically evolving domain.
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Kumar et al. (2024) studied this question.
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