Abstract
In the last decade, the Internet of Things (IoT) has grown to connect a large number of smart entities, devices, and components. These connected entities provide a wide range of services to improve the current society of end customers. The Industrial Internet of Things (IIoTs) are revolutionary systems that have linked manufacturing processes with Internet access in order to preciously increase quality of services. These systems have minimized the costs of production through collaboration with electronic objects, accumulating computing, advanced analytics, and smart perception techniques. A demanding analysis of the strengths and limitations of computational models of IIoT is an essential part of the industry and before deciding which approach to use and implement for enhancing usability. Therefore, the goal of this study is to provide feedback and information to the research community and identify patterns in recommendations for future research in the context of process, development, and monitoring of additional technologies of computational models for IIoT. This paper has presented a comprehensive summary of the existing literature on IIoT for providing details about modern industrial revolutions in the context of IIoT. Associated materials were searched and filtered for identification of relevant materials to the proposed study. These materials have been collectively studied with in-depth analysis and then summarized to condense the information of computation models for the readers as well as entrepreneurs. The study will facilitate research community and practitioners to develop novel techniques, algorithms, and tools to automate and facilitate IIoT. This will develop the field of IIoT and will enhance its usability.
Highlights
Introduction e IndustrialInternet was identified as linking equipment, individuals, and statistical analysis on the basis of open widespread network. e description of IIoT aims at improving the intelligence of smart services such as healthcare, manufacturing sites, decreasing energy costs, and enhancing performance through its use. e concept of the IIoT offers a wide variety of IIoT applications in operation and maintenance facilities of life services
A demanding analysis of the strengths and limitations of computational models of IIoT is an essential part of the industry and before deciding which approach to use and implement for enhancing usability. erefore, the goal of this study is to provide feedback and information to the research community and identify patterns in recommendations for future research in the context of process, development, and monitoring of additional technologies of computational models for IIoT. is paper has presented a comprehensive summary of the existing literature on IIoT for providing details about modern industrial revolutions in the context of IIoT
Conclusion e IIoT aims at enlightening the intelligence of smart services such as healthcare, smart cities, and other manufacturing sites, decreasing energy costs, and enhancing performance through its use. e idea of the IIoT offers a wide variety of IIoT smart applications in operation and maintenance facilities. e IIoTs are revolutionary systems that have connected manufacturing processes with Internet access in order to affectedly increase quality and minimizes costs of production through collaboration with electronic objects accumulates computing, advanced analytics, and smart perception techniques
Summary
Introduction e IndustrialInternet was identified as linking equipment, individuals, and statistical analysis on the basis of open widespread network. e description of IIoT aims at improving the intelligence of smart services such as healthcare, manufacturing sites, decreasing energy costs, and enhancing performance through its use. e concept of the IIoT offers a wide variety of IIoT applications in operation and maintenance facilities of life services. Since the current IIoT suggests a similar approach to the system’s high-level architecture, the ubiquitous use of the word IoT to contribute its use of emerging technologies in the industry is imprecise because it hinders the study of alternative process models, along with the placement and existence of conventional data processing and related security and performance concerns. Various approaches have been presented to strengthen the current Industrial IoT concepts and to suggest references for understanding the work of IIoT in various situations, as the commercial internet demanding less delay and high reliability for the transmission rate requires emerging technical assistance such as cloud computing, fog, and fog Complexity computing. Qin et al [2] discussed the latest technologies of the Industrial Internet thoroughly, including the design of reference, key developments, relative implementations, and potential difficulties. Future problems and exploration trends are addressed to encourage further study of the industrial platform
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
