Cognitive Adaptive Systems for Industrial Internet of Things Using Reinforcement Algorithm
Agile product development cycles and re-configurable Industrial Internet of Things (IIoT) allow more flexible and resilient industrial production systems that can handle a broader range of challenges and improve their productivity. Reinforcement Learning (RL) was shown to be able to support industri...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/12/1/217 |
| _version_ | 1797625992817147904 |
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| author | Anand Singh Rajawat S. B. Goyal Chetan Chauhan Pradeep Bedi Mukesh Prasad Tony Jan |
| author_facet | Anand Singh Rajawat S. B. Goyal Chetan Chauhan Pradeep Bedi Mukesh Prasad Tony Jan |
| author_sort | Anand Singh Rajawat |
| collection | DOAJ |
| description | Agile product development cycles and re-configurable Industrial Internet of Things (IIoT) allow more flexible and resilient industrial production systems that can handle a broader range of challenges and improve their productivity. Reinforcement Learning (RL) was shown to be able to support industrial production systems to be flexible and resilient to respond to changes in real time. This study examines the use of RL in a wide range of adaptive cognitive systems with IIoT-edges in manufacturing processes. We propose a cognitive adaptive system using IIoT with RL (CAS-IIoT-RL) and our experimental analysis showed that the proposed model showed improvements with adaptive and dynamic decision controls in challenging industrial environments. |
| first_indexed | 2024-03-11T10:04:17Z |
| format | Article |
| id | doaj.art-c3a4487f6e3848579f535176604b45e5 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-11T10:04:17Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-c3a4487f6e3848579f535176604b45e52023-11-16T15:12:42ZengMDPI AGElectronics2079-92922023-01-0112121710.3390/electronics12010217Cognitive Adaptive Systems for Industrial Internet of Things Using Reinforcement AlgorithmAnand Singh Rajawat0S. B. Goyal1Chetan Chauhan2Pradeep Bedi3Mukesh Prasad4Tony Jan5School of Computer Sciences & Engineering, Sandip University, Nashik 422213, IndiaFaculty of Information Technology, City University, Petaling Jaya 46100, MalaysiaSchool of Computer Sciences & Engineering, Sandip University, Nashik 422213, IndiaSchool of Computing Science and Engineering, Galgotias University, Greater Noida 203201, IndiaSchool of Computer Science, Faculty of Engineering, I.T, University of Technology Sydney, Sydney 2007, AustraliaCentre for Artificial Intelligence Research and Optimization, Design and Creative Technology Vertical, Torrens University, Sydney 2007, AustraliaAgile product development cycles and re-configurable Industrial Internet of Things (IIoT) allow more flexible and resilient industrial production systems that can handle a broader range of challenges and improve their productivity. Reinforcement Learning (RL) was shown to be able to support industrial production systems to be flexible and resilient to respond to changes in real time. This study examines the use of RL in a wide range of adaptive cognitive systems with IIoT-edges in manufacturing processes. We propose a cognitive adaptive system using IIoT with RL (CAS-IIoT-RL) and our experimental analysis showed that the proposed model showed improvements with adaptive and dynamic decision controls in challenging industrial environments.https://www.mdpi.com/2079-9292/12/1/2175GIndustrial Internet of ThingsD2DM2Mreinforcement learning algorithms |
| spellingShingle | Anand Singh Rajawat S. B. Goyal Chetan Chauhan Pradeep Bedi Mukesh Prasad Tony Jan Cognitive Adaptive Systems for Industrial Internet of Things Using Reinforcement Algorithm Electronics 5G Industrial Internet of Things D2D M2M reinforcement learning algorithms |
| title | Cognitive Adaptive Systems for Industrial Internet of Things Using Reinforcement Algorithm |
| title_full | Cognitive Adaptive Systems for Industrial Internet of Things Using Reinforcement Algorithm |
| title_fullStr | Cognitive Adaptive Systems for Industrial Internet of Things Using Reinforcement Algorithm |
| title_full_unstemmed | Cognitive Adaptive Systems for Industrial Internet of Things Using Reinforcement Algorithm |
| title_short | Cognitive Adaptive Systems for Industrial Internet of Things Using Reinforcement Algorithm |
| title_sort | cognitive adaptive systems for industrial internet of things using reinforcement algorithm |
| topic | 5G Industrial Internet of Things D2D M2M reinforcement learning algorithms |
| url | https://www.mdpi.com/2079-9292/12/1/217 |
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