RETRACTED: Intelligent fuzzy edge computing for real-time decision making in IoT-based digital twin environments
Abstract
Intelligent Fuzzy Edge Computing (IFEC) has emerged as an innovative technology to enable real-time decision-making in Internet of Things (IoT)-based Digital Twin environments. Digital Twins provide virtual models of physical systems, facilitating predictive maintenance and optimization. However, i mplementing real-time decision-making in these environments is challenging due to massive data volumes and need for quick response times. IFEC addresses this by offering a flexible, scalable and efficient platform for real-time decision-making. This paper presents an overview of key aspects of IFEC including fuzzy logic, edge computing and Digital Twins. The use of fuzzy logic in IFEC provides an adaptive framework for handling uncertainties in data. Edge computing enables localized processing, reducing latency. The integration of Digital Twins allows system monitoring, analysis and optimization. Potential applications of IFEC are highlighted in domains such as manufacturing, healthcare, energy management and transportation. Recent advancements in IFEC are also discussed, covering new fuzzy inference systems, edge computing architectures, Digital Twin modeling techniques and security mechanisms. Overall, IFEC shows great promise in enabling real-time decision-making in complex IoT-based Digital Twin environments across various industries. Further research on IFEC will facilitate the ongoing digital transformation of industrial systems.
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The interlinking mechanisms include IoT devices, data communication protocols, edge and cloud computing, machine learning algorithms, and feedback control systems.
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- Authors
- Prasath, N., Arun, A., Saravanan, B., & Kamaraj, K.
- Affiliations
- SRM Institute of Science and Technology (IN)
- Sri Eshwar College of Engineering (IN)
- KPR Institute of Engineering and Technology
- Corresponding author
- Prasath, N.
- ORCID
- Prasath, N.
- Venue
- Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
- Publisher
- SAGE Publications
- Published
- 2023-10-27
- Volume
- 49
- Issue
- 1_suppl
- Pages
- 113-124
- ISSN
- 1064-1246 (ISSN-L)
- 1875-8967
- OpenAlex
- W4388072175
- Cited by
- 3
- References
- 27
- Citations by year
- 2026: 2 · 2025: 1
- FWCI
- 0.33
- Type
- journal article
- Language
- en
- Status
- Retracted
- Update notices
- retraction (2025-04-17)
- Open access
- closed
- Locations
- Journal of Intelligent & Fuzzy Systems (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Keywords
- digital twin, Internet of Things, real-time decision making, fuzzy logic, edge computing, fuzzy inference system, uncertainty management, predictive maintenance, edge computing architecture, digital twin security, industrial digitalization
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