Integrating Cloud Computing, Sensing Technologies, and Digital Twins in IoT Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".
Deadline for manuscript submissions: 1 March 2025 | Viewed by 48
Special Issue Editors
Interests: Internet of Things; ad hoc networks; efficient resource allocation; smart buildings; crowdsensing/crowdsourcing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The Internet of Things (IoT) has revolutionized the way we interact with our environment, creating a seamless network of interconnected devices that collect, process, and exchange data. As IoT applications continue to expand, the need for more sophisticated and holistic approaches to data management and system modelling has become evident. Cloud computing, sensing technologies, and digital twins are opening new frontiers in observing, analyzing, and understanding different environments and human behaviour, with far-reaching implications across various domains. From healthcare and personal wellness to ambient intelligence and smart cities, the applications are diverse and vast.
Cloud computing provides the scalable computational resources and storage capabilities necessary to handle the data volumes generated by IoT devices. Sensing technologies allow the systems to capture real-time data from the physical world. Digital twins bridge the gap between the physical and digital realms, offering virtual representations of objects, humans, systems, and processes within IoT environments.
This Special Issue aims to explore the cutting-edge developments in cloud computing, digital twins, and sensing technologies within the IoT context, with a particular focus on their integration to create more intelligent, responsive, and user-centric IoT systems.
The key topics of interest include (but are not limited to) the following:
- Scalable cloud architectures for processing sensor data and updating digital twins in real-time;
- Novel sensing strategies and technologies for different IoT scenarios;
- Edge and fog computing paradigms to support cloud-based IoT environments;
- Security and privacy considerations in cloud-based IoT networks;
- Integration of AI and machine learning for intelligent data processing in IoT;
- User-centric IoT solutions;
- Vertical applications (e.g., e-Health, Smart Buildings, Smart cities, etc.);
- Integrated sensing and communications;
- Digital twin;
- Ambient intelligence .
Dr. Virginia Pilloni
Guest Editor
Dr. Francesca Marcello
Guest Editor Assistant
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Keywords
- Internet of Things
- digital twin
- sensing technologies
- edge and fog computing
- ambient intelligence
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