A Novel Cognitive IoT Gateway Framework: Towards a Holistic Approach to IoT Interoperability

Adesina, Tolulope F.; Osasona, Oladiipo

doi:10.1109/wf-iot.2019.8767248

Cited by 17 publications

(4 citation statements)

References 16 publications

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“…Kamiński (2020) proposed an integration platform for common standards and interoperability technologies (such as: SOA, XML, Web-Services). Several papers suggested treating interoperability by means of a gateway (Aloi et al 2016;Vargas and Salvador 2016;Adesina et al 2019;Jiang et al 2020). This is also the way we suggest when encountering interoperability in the suggested framework.…”

Section: Discussion On Implementation and Validationmentioning

confidence: 55%

A smart process controller framework for Industry 4.0 settings

Cohen

Singer

2021

J Intell Manuf

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This paper presents a smart supervisory framework for a single process controller, designed for Industry 4.0 shop floors. This digitization of a full supervisory suite for a single process controller enables self-awareness, self-diagnosis, self-prognosis, and self-healing (by definition, these "self" elements are missing from other supervisory frameworks diagnosing numerous controllers in parallel). The proposed framework is aligned with the concept of a Cyber Physical System (CPS), since its implementation generates a rich cyber physical entity of the controlled process. This CPS entity can either be considered as the process digital twin, or can provide a solid basis for generating it. Finally, the framework includes the main characteristics of Industry 4.0, such as advanced use of Artificial Intelligence (AI) and big data analysis. The framework is based on four modules: (1) Control and Awareness module-performing both continuous process control and adjustments, as well as machine learning (ML) and statistical process control (SPC) for identifying abnormalities that require further diagnosis; (2) Process-diagnosis module-performing continual (recurrent) analysis of the process state and trends; (3) Prognosis and Healing module-performing prognosis and automated intervention via parameter changes, re-configurations, and automated maintenance; (4) External Interaction Platform-an interactive module for interfacing with experts, presenting them with the process analysis information and obtaining feedback from them as part of a learning process. Using an implementation showcase to illustrate the methodological framework's applicability, we demonstrate its real-world potential. The proposed framework could serve as a guide for implementing smart process control and maintenance systems in Industry 4.0 shop floors. It could also provide a firm basis for comparison with future suggested frameworks. Future research directions could include pursuing improvements to the proposed process control framework and validating the framework by case studies of its implementation.

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Section: Discussion On Implementation and Validationmentioning

confidence: 55%

A smart process controller framework for Industry 4.0 settings

Cohen

Singer

2021

J Intell Manuf

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“…Some platforms are primarily cloud-based (these can only function with a connection to their respective cloud servers), this is a significant limitation where a local network is preferred in privacy-constrained environments such as hospitals. A Smart Gateway Framework for IoT Services [7] and A Novel Cognitive IoT Gateway Framework [9] focus on high-level context abstraction, cognition and knowledge. While our target framework does not focus on this in the first instance, it has high levels of abstraction to enable incorporation of such contexts, cognition and ontologies into the framework in the future.…”

Section: B Motivation and Related Workmentioning

confidence: 99%

RADAR-IoT: An open-source, interoperable and extensible IoT gateway framework for healthcare and beyond

Ranjan,

Chang,

Sankesara

et al. 2023

Preprint

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<p>IoT sensors offer a wide range of sensing capabilities, many of which have the potential for health or medical applications. Existing solutions for IoT in healthcare have notable limitations, such as limited I/O protocols, limited cloud platform support, and limited extensibility. Therefore, the development of an open-source Internet of Medical Things (IoMT) gateway solution that addresses these limitations and provides reliability, broad applicability, and utility would be highly desirable. Combining a wide range of sensor data streams from IoT devices with ambulatory mHealth data would open the potential for providing a detailed 360-degree view of the relationship between patient physiology, behaviour, and environment. To harness this potential, RADAR-IoT has been developed as an open-source IoT gateway framework. Its purpose is to connect multiple IoT devices at the edge, perform on-device data analysis, and integrate with cloudbased mobile health platforms such as RADAR-base, enabling real-time data processing.</p>

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Section: B Motivation and Related Workmentioning

confidence: 99%

RADAR-IoT: An open-source, interoperable and extensible IoT gateway framework for healthcare and beyond

Ranjan,

Chang,

Sankesara

et al. 2023

Preprint

View full text Add to dashboard Cite

IoT sensors offer a wide range of sensing capabilities, many of which have the potential for health or medical applications. Existing solutions for IoT in healthcare have notable limitations, such as limited I/O protocols, limited cloud platform support, and limited extensibility. Therefore, the development of an open-source Internet of Medical Things (IoMT) gateway solution that addresses these limitations and provides reliability, broad applicability, and utility would be highly desirable. Combining a wide range of sensor data streams from IoT devices with ambulatory mHealth data would open the potential for providing a detailed 360-degree view of the relationship between patient physiology, behaviour, and environment. To harness this potential, RADAR-IoT has been developed as an open-source IoT gateway framework. Its purpose is to connect multiple IoT devices at the edge, perform on-device data analysis, and integrate with cloud-based mobile health platforms such as RADAR-base, enabling real-time data processing.

show abstract

A Novel Cognitive IoT Gateway Framework: Towards a Holistic Approach to IoT Interoperability

Cited by 17 publications

References 16 publications

A smart process controller framework for Industry 4.0 settings

A smart process controller framework for Industry 4.0 settings

RADAR-IoT: An open-source, interoperable and extensible IoT gateway framework for healthcare and beyond

RADAR-IoT: An open-source, interoperable and extensible IoT gateway framework for healthcare and beyond

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