Fundamentals of Fog Computing and the Internet of Things for Smart Healthcare
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69 673 Ft
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Product details:
- Publisher Elsevier
- Date of Publication 17 October 2025
- ISBN 9780443334399
- Binding Paperback
- No. of pages532 pages
- Size 235x191 mm
- Weight 450 g
- Language English 700
Categories
Long description:
Fundamentals of Fog Computing and the Internet of Things for Smart Healthcare explores the intersection of two transformative technologies, fog computing and the IoT, shedding light on how they are revolutionizing healthcare. The book serves as an essential guide for researchers and graduate students, explaining the underlying concepts, operational benefits, and potential challenges of these technologies. By delving into how fog computing enhances real-time data processing, the book's authors provide invaluable insights into the practical applications of these advancements in the healthcare industry.
Additionally, together with its companion book, Advances in Fog computing and the Internet of Things for Smart Healthcare, the series provides a comprehensive understanding of how these technologies are enabling more efficient, personalized, and accessible healthcare services. By facilitating smart applications and services across various industries, fog computing optimizes performance, latency, privacy, and overall system efficiency, ultimately contributing to the development of more effective and responsive IoT ecosystems.
- Discusses the fundamentals of fog computing, IoT technology, and their applications in healthcare, offering both technical and non-technical readers a clear understanding of the concepts
- Offers in-depth insights into the technical architecture, networking protocols, security considerations, and data management strategies, thus catering to IT professionals and researchers
- Explores how fog computing and IoT can be integrated to optimize resource allocation, patient care, and operational efficiency
Table of Contents:
- Introductory chapter
- Overview of fog computing and iot-based technology in smart healthcare systems
- Determine the potential benefits and challenges of implementing fog computing and IoT in healthcare
- Empowering healthcare through fog computing and IoT integration: Challenges, opportunities, and future directions
- Artificial intelligence-enabled security systems for 6g wireless networks: Algorithms, strategies, and application
- Methods for characterization and evaluation of fog computing and IoT-based technology
- Introduction to advances in fog computing and the IoT for smart healthcare
- Regulatory frameworks, services, policy, and operations of fog computing and IoT-based technology
- Ensuring privacy in smart healthcare: A comprehensive examination of privacy protection measures for fog computing and IoT integration
- Fog computing and IoT-Based technology security and privacy in smart healthcare systems
- Artificial intelligence enabled schemes for fog computing and IoT-based technology
- Privacy protection for fog computing and IoT-based technology in smart healthcare systems
- Cryptography-based fog computing and iot-based technology in smart healthcare systems
- Centralized fog computing security platform for IoT and cloud in healthcare system
- Ethical considerations in using wearable devices for health monitoring
- Challenges and considerations in implementing internet of things and fog computing for healthcare
- Advancing healthcare with artificial intelligence (AI)-driven fog computing and internet of things (IoT) integration: An enhanced approach for improved medical services
- Real-world applications of fog computing and iot implementations in healthcare: Advancing patient care and transforming the industry
- Challenges and opportunities for smart healthcare systems
- Enhancing efficiency in SSNs: A comprehensive study on fog computing and internet of things (IoT) integration for throughput and latency optimization
- Securing healthcare records: Fortifying electronic health records through blockchain, fog computing, and internet of things (IoT) integration
- Artificial intelligence-enabled frameworks for fog computing and the internet of things
