Title: Advances in Fog Computing and the Internet of Things for Smart Healthcare
Publisher: Elsevier
Publication Date: 2025
Language: English
ISBN 10: 0443334412
ISBN 13: 9780443334412
Binding: Soft cover
Condition: New

About this title

Synopsis

Advances in Fog Computing and the Internet of Things for Smart Healthcare delves into the transformative impact of fog computing and IoT on modern healthcare systems. This comprehensive guide educates researchers and graduate students on the fundamental concepts of these technologies, illustrating their practical applications in healthcare. Real-world use cases showcase the technologies' ability to enhance patient monitoring and personalized medicine. The book also addresses significant challenges such as privacy, security, data management, and regulatory compliance, providing strategies for overcoming them.

Alongside its companion book, Fundamentals of Fog Computing and the Internet of Things for Smart Healthcare, this volume empowers various industries to leverage IoT technologies while optimizing performance and system efficiency. It highlights the crucial role of fog computing in processing data closer to the source, ensuring faster and more efficient data processing and contributing to the creation of effective IoT ecosystems. This synergy between fog computing and IoT facilitates smarter applications and services, advancing the landscape of healthcare with more efficient, personalized, and accessible 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

About the Authors

Dr. 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.

Dr. Akash Kumar Bhoi accomplished academic and researcher with over a decade of experience in Computer Science and Engineering, Artificial Intelligence, Machine Learning, Data Science, and Biomedical Computing. Recognized globally for research excellence, ranked in the Top 0.5% of Scholars worldwide (ScholarGPS, 2024 & 2025) and listed among the World’s Top 2% Scientists (Stanford University & Elsevier, 2022, 2023 & 2025). Prolific contributor with 200+ Scopus-indexed publications, multiple edited books with Springer/Elsevier, and an h-index of 39 (Google Scholar). Dr. Bhoi is currently associated with Graphic Era Deemed to be University, Dehradun. More than a decade of academic & research experience in India, Italy, Australia, and South Korea. Expertise spans computational intelligence, data analytics, healthcare informatics, biomedical signal and image processing, cloud/edge computing, and IoT applications.

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.

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 Cear�, Brazil, and at the Graduate Program on Telecommunication Engineering, Federal Institute of Education, Science and Technology of Cear�, Fortaleza/CE, Brazil.
He has a Ph.D in Mechanical Engineering from the Federal University of Para�ba (UFPB, 2010), an MSc in Teleinformatics Engineering from the Federal University of Cear� (UFC, 2007), and he graduated in Mechatronics Engineering at the Federal Center of Technological Education of Cear� (CEFETCE, 2006). He is a specialist, mainly, in Image Data Science, IoT, Machine/Deep Learning, Pattern Recognition, Robotic.

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