Digital Twin and IoT
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 30 May 2025 | Viewed by 2480
Special Issue Editors
Interests: digital twin; Internet of Things; data sharing; artificial intelligence; wireless communication networks; blockchain
Interests: big data analysis; social media analysis; cloud computing; data mining; machine learning; Internet of Things
Special Issues, Collections and Topics in MDPI journals
Interests: computer networks security; IT security; Internet of Things; IT services; computer communications (Networks); LPWAN
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Digital twin (DT) is a powerful concept for the Internet of Things (IoT), offering substantial benefits across various industries such as manufacturing, healthcare, transportation, and more. By creating virtual replicas or representations of physical objects, processes, or systems, DT can significantly enhance both the development and operational phases of IoT networks. DT can facilitate real-time monitoring of physical entities or systems by continuously collecting data from embedded sensors, thus providing immediate insights into their behaviour, performance, and condition. This capability can enable proactive maintenance, predictive analytics, and operational optimization. Moreover, DTs can allow for simulation and what-if analysis of physical entities and systems, identifying inefficiencies, optimizing processes, and improving resource utilization while predicting equipment failures or maintenance needs before they occur.
Despite many benefits that can result from incorporating DT technology into IoT (DT-IoT), there are still issues and challenges to be addressed, including data security and privacy, data quality and integrity, interoperability, scalability, energy efficiency, cost, and ethical concerns. In this Special Issue, we aim to bring together high-quality contributions that address the aforementioned challenges. Topics covered will include, but are not limited to, the following:
- Architectures and standards for DT-IoT;
- Security and privacy solutions for DT-IoT;
- Machine learning and AI for DT-IoT;
- Communications issues in DT-IoT;
- Societal and ethical aspects of DT-IoT;
- Resource allocation and optimization;
- Implementation challenges;
- Service caching and DT mobility management.
Dr. Samuel D. Okegbile
Dr. Fabrizio Marozzo
Dr. Dan García Carrillo
Guest Editors
Manuscript Submission Information
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Keywords
- digital twin
- Internet of Things
- data security
- privacy
- interoperability
- scalability
- machine learning
- artificial intelligence
- ethical concerns
- optimization
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