A Survey of Techniques for Fulfilling the Time-Bound Requirements of Time-Sensitive IoT Applications

Korala, Harindu; Georgakopoulos, Dimitrios; Jayaraman, Prem Prakash; Yavari, Ali

doi:10.1145/3510411

Cited by 7 publications

(5 citation statements)

References 102 publications

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“…Where more complex computation is needed, this is typically handled at another layer (discussed in Figure 2) where computationally intensive data processing and decision-making processes are conducted. However, this has the drawback that latency can be introduced between sensing and actuation, and system complexity may increase due to increased reliance on higher layers [49,50] [52]. Such heterogeneous characteristics of IoT devices can make the data aggregation and integration a challenging task, which can result in the reduced efficiency of the decision-making and actuation process.…”

Section: Device Layermentioning

confidence: 99%

Hydrogen 4.0: A Cyber–Physical System for Renewable Hydrogen Energy Plants

Yavari,

Harrison,

Gorji

et al. 2024

Sensors

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The demand for green hydrogen as an energy carrier is projected to exceed 350 million tons per year by 2050, driven by the need for sustainable distribution and storage of energy generated from sources. Despite its potential, hydrogen production currently faces challenges related to cost efficiency, compliance, monitoring, and safety. This work proposes Hydrogen 4.0, a cyber–physical approach that leverages Industry 4.0 technologies—including smart sensing, analytics, and the Internet of Things (IoT)—to address these issues in hydrogen energy plants. Such an approach has the potential to enhance efficiency, safety, and compliance through real-time data analysis, predictive maintenance, and optimised resource allocation, ultimately facilitating the adoption of renewable green hydrogen. The following sections break down conventional hydrogen plants into functional blocks and discusses how Industry 4.0 technologies can be applied to each segment. The components, benefits, and application scenarios of Hydrogen 4.0 are discussed while how digitalisation technologies can contribute to the successful integration of sustainable energy solutions in the global energy sector is also addressed.

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Section: Device Layermentioning

confidence: 99%

Hydrogen 4.0: A Cyber–Physical System for Renewable Hydrogen Energy Plants

Yavari,

Harrison,

Gorji

et al. 2024

Sensors

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“…Real-time monitoring involves the ongoing observation and tracking of a system, process, or data stream as events take place. Real-time data must be collected, analyzed, and displayed in order to provide timely information on the state, performance, or behavior of the monitored system [57,58].…”

Section: Real-time Monitoringmentioning

confidence: 99%

Digital Twins for Enhancing Efficiency and Assuring Safety in Renewable Energy Systems: A Systematic Literature Review

Hashmi,

Liu,

Yavari

2024

Energies

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As the demand for sustainable energy solutions grows, there is a critical requirement for continuous innovation to optimize the performance and safety of renewable energy systems (RESs). Closed-loop digital twins (CLDTs)—synchronized virtual replicas embedded with real-time data and control loops to mirror the behavior of physical systems—have emerged as a promising tool for achieving this goal. This paper presents a systematic literature review on the application of digital twin (DT) technology in the context of RESs with an emphasis on the impact of DTs on the efficiency, performance, and safety assurance of RESs. It explores the concept of CLDTs, highlighting their key functionalities and potential benefits for various renewable energy technologies. However, their effective implementation requires a structured approach to integrate observation, orientation, decision, and action (OODA) processes. This study presents a novel OODA framework specifically designed for CLDTs to systematically identify and manage their key components. These components include real-time monitoring, decision-making, and actuation. The comparison is carried out against the capabilities of DT utilizing the OODA framework. By analyzing the current literature, this review explores how DT empowers RESs with enhanced efficiency, reduced risks, and improved safety assurance.

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“…When searching for DSPS, a distinction has to be made between edge and edge computing , as the term edge is used with different meaning. As the stream processing queries that represent the IIoT application are often based on directed acyclic graphs (DAGs), the structure is described with the relation of edges and nodes [ 59 ]. Reducing the search space from IoT to IIoT also leads to significantly fewer results.…”

Section: State Of the Artmentioning

confidence: 99%

Virtual Commissioning of Distributed Systems in the Industrial Internet of Things

Rosenberger

Selig

Ristić

et al. 2023

Sensors

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With the convergence of information technology (IT) and operational technology (OT) in Industry 4.0, edge computing is increasingly relevant in the context of the Industrial Internet of Things (IIoT). While the use of simulation is already the state of the art in almost every engineering discipline, e.g., dynamic systems, plant engineering, and logistics, it is less common for edge computing. This work discusses different use cases concerning edge computing in IIoT that can profit from the use of OT simulation methods. In addition to enabling machine learning, the focus of this work is on the virtual commissioning of data stream processing systems. To evaluate the proposed approach, an exemplary application of the middleware layer, i.e., a multi-agent reinforcement learning system for intelligent edge resource allocation, is combined with a physical simulation model of an industrial plant. It confirms the feasibility of the proposed use of simulation for virtual commissioning of an industrial edge computing system using Hardware-in-the-Loop. In summary, edge computing in IIoT is highlighted as a new application area for existing simulation methods from the OT perspective. The benefits in IIoT are exemplified by various use cases for the logic or middleware layer using physical simulation of the target environment. The relevance for real-life IIoT systems is confirmed by an experimental evaluation, and limitations are pointed out.

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A Survey of Techniques for Fulfilling the Time-Bound Requirements of Time-Sensitive IoT Applications

Cited by 7 publications

References 102 publications

Hydrogen 4.0: A Cyber–Physical System for Renewable Hydrogen Energy Plants

Hydrogen 4.0: A Cyber–Physical System for Renewable Hydrogen Energy Plants

Digital Twins for Enhancing Efficiency and Assuring Safety in Renewable Energy Systems: A Systematic Literature Review

Virtual Commissioning of Distributed Systems in the Industrial Internet of Things

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