Advances in Fog Computing and the Internet of Things for Smart Healthcare

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 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