Internet of Things and Cloud for Smart Healthcare
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 31 July 2024 | Viewed by 479
Special Issue Editors
Interests: IoT; cloud computing
Interests: cyber security; blockchain; internet of things; cloud computing; artificial intelligence applications in business
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the development of smart sensorial media, things, and cloud technologies, “Smart healthcare” is receiving significant consideration from academics, governments, industry, and from the healthcare community. Recently, the Internet of Things (IoT) has brought the vision of a smarter world into reality with a massive amount of data and numerous services. Cloud computing is an enabling technology in this scenario as it presents a flexible stack of computing, storage and software services at low cost. However, the convergence of IoT and the cloud can provide new opportunities for both technologies. IoT–cloud convergence could play a significant role in smart healthcare by offering better insight into heterogeneous healthcare content (e.g., X-ray, ECG, MRI, ultrasound image, clinical notes, claims, and so on) to support affordable and quality patient care. It can also support powerful processing and storage facilities of huge IoT data streams (big data) beyond the capability of individual "things" and provide automated real-time decision-making.
Topics include but are not restricted to the following:
- Innovative classification techniques and test beds for IoT-cloud enable connected healthcare;
- Enabling IoT-cloud convergence technologies for smart healthcare;
- Big data analytics and cognitive computing for smart healthcare;
- Energy-efficient data offloading and computing over IoT-Clouds for smart healthcare;
- Medical IoT and big data analytics for smart healthcare;
- Context-aware situation understanding for smart healthcare;
- Deep Learning approaches for smart healthcare;
- Dynamic resource provisioning on IoT- cloud for mobile healthcare;
- Techniques, algorithms and methods of processing smart healthcare data over the IoT-Cloud;
- IoT-Cloud-supported serious games or exergames for smart care.
Dr. Zheng Xu
Prof. Dr. Jemal Abawajy
Guest Editors
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