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Advances in Fog Computing and the Internet of Things for Smart Healthcare
- 1st Edition - November 19, 2025
- Editors: Joseph Bamidele Awotunde, Akash Kumar Bhoi, Paolo Barsocchi, Victor Hugo Costa de Albuquerque
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 3 4 4 1 - 2
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 3 4 4 2 - 9
The synergy between fog computing and the IoT facilitates the growth of smart applications and services, empowering various industries to harness the full potential of IoT… Read more
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Request a sales quoteThe synergy between fog computing and the IoT facilitates the growth of smart applications and services, empowering various industries to harness the full potential of IoT technologies while ensuring faster and more efficient data processing. In essence, IoT devices collect data, and fog computing provides a mechanism for processing that data closer to the source, optimizing performance, latency, privacy, and overall system efficiency. Together, these concepts contribute to building more effective and responsive IoT ecosystems. 'Advances in Fog computing and the Internet of Things for Smart Healthcare' explores the intersection of fog computing, the IoT, and places their application in the context of smart healthcare systems. The book educates researchers and graduate students about the concepts of fog computing, IoT, and their applications in healthcare, explaining how these technologies work, their benefits, and potential challenges. The book showcases real-world use cases where fog computing and IoT have been applied in healthcare. For instance, it discusses how IoT devices are used for patient monitoring, and how these technologies contribute to personalized medicine. Addressing the challenges related to privacy, security, data management, interoperability, and regulatory compliance would be crucial. The book explores strategies and solutions for overcoming these challenges in the context of healthcare. Alongside the companion book, 'Fundamentals of Fog Computing and the Internet of Things for Smart Healthcare', this book provides readers with a comprehensive understanding of how fog computing and IoT are transforming the landscape of healthcare, enabling more efficient, personalized, and accessible healthcare services.
• Provides a comprehensive introduction to fog computing, IoT technology, and their applications in healthcare, offering both technical and non-technical readers a clear understanding of the concepts.
• Showcases real-world case studies and examples of fog computing and IoT implementations in healthcare settings, illustrating practical benefits and challenges.
• Provides strategic insights into how fog computing and IoT can be integrated to optimize resource allocation, patient care, and operational efficiency.
• Explores the ethical, privacy, and regulatory challenges associated with implementing these technologies in healthcare, guiding readers through the potential pitfalls.
• Discusses emerging trends and potential future developments at the intersection of fog computing, IoT, and healthcare, equipping readers with forward-looking perspectives.
• Showcases real-world case studies and examples of fog computing and IoT implementations in healthcare settings, illustrating practical benefits and challenges.
• Provides strategic insights into how fog computing and IoT can be integrated to optimize resource allocation, patient care, and operational efficiency.
• Explores the ethical, privacy, and regulatory challenges associated with implementing these technologies in healthcare, guiding readers through the potential pitfalls.
• Discusses emerging trends and potential future developments at the intersection of fog computing, IoT, and healthcare, equipping readers with forward-looking perspectives.
professionals, researchers, educators, and students working at the intersection of technology and healthcare, specifically specialists in data analysis and security, fog computing, IoT, and sensor networks
1. An intelligent framework to secure Fog computer and IoT service applications using Artificial Intelligence/Machine Learning
2. Optimization Schemes for the fog computing and IoT in smart healthcare systems
3. An ensemble deep learning based Smart Healthcare System for Automatic Diagnosis of Diseases in integrated IoT and fog computing environments
4. Case studies of fog computing and IoT implementations in healthcare System Contributor name and affiliation:
5. The potential applications of fog computing and IoT in healthcare
6. Achievement an extensive knowledge of fog computing and IoT and their applications in smart healthcare systems
7. Sensor network and blockchain platform for the future smart healthcare systems
8. Fog computing and IoT for electronic health records enabled with blockchain technology
9. Fog computing and IoT technology enabled with Artificial Intelligence for healthcare
10. An Enhanced Hyper-Parameter Optimization Artificial Intelligence Model enabled with fog computing and IoT in a Smart Healthcare System 11: Fog computing and IoT technology for throughput and latency in the smart sensor network
12. Federated Learning-based Approaches for Edge-enabled IoT Networks in healthcare
13. Regulatory policies for smart healthcare systems and data protection using AI and blockchain technology
14. Real-world Applications of fog computing and IoT implementations in healthcare
15. Fog computing and IoT technology Enabling Medical Image Processing
16. Fog computing and IoT technology in Hospital Information Systems Management
2. Optimization Schemes for the fog computing and IoT in smart healthcare systems
3. An ensemble deep learning based Smart Healthcare System for Automatic Diagnosis of Diseases in integrated IoT and fog computing environments
4. Case studies of fog computing and IoT implementations in healthcare System Contributor name and affiliation:
5. The potential applications of fog computing and IoT in healthcare
6. Achievement an extensive knowledge of fog computing and IoT and their applications in smart healthcare systems
7. Sensor network and blockchain platform for the future smart healthcare systems
8. Fog computing and IoT for electronic health records enabled with blockchain technology
9. Fog computing and IoT technology enabled with Artificial Intelligence for healthcare
10. An Enhanced Hyper-Parameter Optimization Artificial Intelligence Model enabled with fog computing and IoT in a Smart Healthcare System 11: Fog computing and IoT technology for throughput and latency in the smart sensor network
12. Federated Learning-based Approaches for Edge-enabled IoT Networks in healthcare
13. Regulatory policies for smart healthcare systems and data protection using AI and blockchain technology
14. Real-world Applications of fog computing and IoT implementations in healthcare
15. Fog computing and IoT technology Enabling Medical Image Processing
16. Fog computing and IoT technology in Hospital Information Systems Management
- No. of pages: 400
- Language: English
- Edition: 1
- Published: November 19, 2025
- Imprint: Elsevier
- Paperback ISBN: 9780443334412
- eBook ISBN: 9780443334429
JA
Joseph Bamidele Awotunde
Joseph Bamidele AWOTUNDE, is a Lecturer in the Department of Computer Science, Faculty of Communication and Information Sciences, University of Ilorin, Ilorin, Nigeria. His area of research interest cut across Artificial Intelligence, Internet of Things, Cybersecurity, Information Security, Social Computing, Bioinformatics, and Biometrics. He has to his credit over one hundred and fifty publications in reputable outlets like Elsevier, Springer, Hindawi among others covering journals, edited conference proceedings and chapters in books. He was part of the team that won the Artificial Intelligence for Females in Science Technology, Engineering and Mathematics (AI4FS) Grant sponsored by Royal Academy of Engineering (Higher Education Partnerships in sub-Saharan Africa (HEP SSA) 22/24). He is an Associate Editor of the PLOS ONE, and IEEE Transactions on Neural Systems & Rehabilitation Engineering. He is also a member of many professional bodies within and outside Nigeria such as International Association of Engineers and Computer Scientist (MIAENG), Computer Professional Registration Council of Nigeria (MCPN), and Nigeria Computer Society (MNCS). Internet Society.
Affiliations and expertise
University of IlorinAB
Akash Kumar Bhoi
Dr. Akash Kumar Bhoi, holds degrees in B.Tech, M.Tech, and Ph.D., and has been contributing to the field of computer science and engineering. He assumed the role of Assistant Professor (Research) at the Department of Computer Science and Engineering, Sikkim Manipal Institute of Technology (SMIT), India, in 2012. Dr. Bhoi serves as the University Ph.D. Course Coordinator for "Research & Publication Ethics (RPE)." He is an active member of professional organizations such as IEEE, ISEIS, and IAENG, and holds associate membership with IEI and UACEE. He plays a significant role as an editorial board member and reviewer for esteemed international journals and regularly contributes as a reviewer. His research expertise encompasses a wide array of domains, including Biomedical Technologies, the Internet of Things, Computational Intelligence, Antenna technology, and Renewable Energy. Dr. Bhoi has a notable publication record, with multiple papers featured in national and international journals and conferences.
Affiliations and expertise
Assistant Professor, Department of Computer Science and Engineering, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Sikkim, IndiaPB
Paolo Barsocchi
Paolo Barsocchi is a researcher at the Information Science and Technologies Institute (ISTI) of the National Research Council (CNR) at Pisa, Italy. He received his M.Sc. and Ph.D. degrees in information engineering from the University of Pisa in 2003 and 2007, respectively. Since 2017 he is Head of the Wireless Networks Research Laboratory. He is currently involved in several European projects, national and regional projects. The overall amount of attracted and managed funds both at European and national level is about €3M. He has been nominated as a regional competence reference person for advanced manufacturing solutions in Industry 4.0 in 2017, and as a contact person in the Cluster-PON call in 2017 for the CNR Department DIITET, which ISTI belongs to. His research interests are in the areas of internet of things (IoT), wireless sensor networks, cyberphysical systems, machine learning and data analysis techniques, smart environments, ambient assisted living, activity recognition and indoor localization.
Affiliations and expertise
Researcher, Information Science and Technologies Institute (ISTI), National Research Council (CNR), Pisa, ItalyVd
Victor Hugo Costa de Albuquerque
Victor Hugo C. de Albuquerque [M’17, SM’19] is a collaborator Professor and senior researcher at the Graduate Program on Teleinformatics Engineering at the Federal University of Ceará, Brazil, and at the Graduate Program on Telecommunication Engineering, Federal Institute of Education, Science and Technology of Ceará, Fortaleza/CE, Brazil.
He has a Ph.D in Mechanical Engineering from the Federal University of Paraíba (UFPB, 2010), an MSc in Teleinformatics Engineering from the Federal University of Ceará (UFC, 2007), and he graduated in Mechatronics Engineering at the Federal Center of Technological Education of Ceará (CEFETCE, 2006). He is a specialist, mainly, in Image Data Science, IoT, Machine/Deep Learning, Pattern Recognition, Robotic.
Affiliations and expertise
Professor and Senior Researcher, Federal University of Ceara, Fortaleza, Graduate Program on Teleinformatics Engineering,Fortaleza/CE, Brazil