Complexity

Research Article

An Overview of Computational Models for Industrial Internet of Things to Enhance Usability

Table 1

Existing approaches related to the proposed work.
ReferenceMethodYear
[1]Perspective for equipment automation2017
[2]Recent advances in Industrial Internet2019
[3]Quality of service-aware service selection for IoT2020
[4]RMAS architecture for industrial agents2020
[5]Scenario design to envisioning sustainable manufacturing industries2016
[6]Virtual commissioning of industrial control systems2019
[7]Identification and design of Industry 4.02019
[10]Agile manufacturing concept to the reference architecture model Industry 4.02019
[11]Optimized container scheduling for data-intensive serverless edge computing2021
[12]Certificate-based proxy signature scheme for IIoT2020
[13]Industry 4.0: IIOT2020
[14]Cloud-based manufacturing control system with data integration from multiple autonomous agents2018
[15]Digitalization for SMEs in Brandenburg, Germany2019
[16]IIoT: recent advances, enabling technologies, and challenges2020
[17]Smart manufacturing and continuous improvement and adaptation of predictive models2020
[18]The industry use cases for the Digital Twin idea2020
[19]Deep learning-based production forecasting in manufacturing2020
[20]From Industry 4.0 to Robotics 4.02020
[21]Condition monitoring system for machine tool auxiliaries2020
[22]Multiagent system architecture to implement collaborative learning2018
[23]Qualitative evaluation of IPv6 for IoT2018
[27]IIoTS-based technology for prediction and control of cavitation in centrifugal pumps2020
[28]Digitalization technologies for industrial sustainability2019
[29]Considerations, challenges, and opportunities when developing data-driven models for process manufacturing systems2020
[30]Secure and efficient energy trading in IIoT-enabled energy Internet2020
[31]AI and IoT in small- and medium-sized enterprises2020
[33]Modeling the Industry 4.0 adoption for sustainable production in micro, small, and medium enterprises2021
[34]Securing future decentralized industrial IoT infrastructures2019
[35]Mapping vulnerabilities in IIoT landscape2019
[37]IIoT: an analysis framework2018
[38]Fog computing-based framework for process monitoring and prognosis in cyber-manufacturing2017
[39]IIoT business models in the machine-to-machine context2020
[41]Relationship between Industry 4.0 and productivity2019
[42]Open-source machine learning for IIoT2020
[44]Industrial revitalization via Industry 4.02019
[46]Parallel computing for efficient and intelligent IIoHT2021