Fog-Enabled Framework for Patient Health-Monitoring Systems Using Internet of Things and Wireless Body Area Networks

Kadu, Ankush; Singh, Manwinder

doi:10.1007/978-981-19-7346-8_52

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2024

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Cited by 3 publications

References 21 publications

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Advancing Healthcare Monitoring: Integrating Machine Learning With Innovative Wearable and Wireless Systems for Comprehensive Patient Care

Muhammad Arslan,

Yang,

Zhang

et al. 2024

IEEE Sensors J.

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Advancing Healthcare Monitoring: Integrating Machine Learning With Innovative Wearable and Wireless Systems for Comprehensive Patient Care

Muhammad Arslan,

Yang,

Zhang

et al. 2024

IEEE Sensors J.

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Fog Computing-Integrated ML-Based Framework and Solutions for Intelligent Systems

Pitchai,

Guru,

Gandhi

et al. 2024

Advances in Systems Analysis, Software Engineering, and High Performance Computing

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The integration of fog computing and machine learning (ML) in digital healthcare has revolutionized patient care, operations, and personalized treatment. This chapter explores the potential of fog computing in telemedicine, remote monitoring, and personalized treatment. It highlights its role in addressing data processing challenges, enabling real-time data analytics, and ensuring secure transmission of medical information. Key case studies demonstrate how these integrated solutions are driving innovation in the healthcare industry. The combination of fog computing and ML offers a promising avenue for the future of digital healthcare, focusing on data-driven decision-making and precision medicine.

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Fog Computing-Based Framework and Solutions for Intelligent Systems

Shashi,

Dhanalakshmi,

Tamilarasi

et al. 2024

Advances in Computational Intelligence and Robotics

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The automotive industry is increasingly focusing on autonomous vehicles, leading to a need for intelligent systems that enable safe and efficient self-driving. Fog computing is a promising paradigm for real-time data processing and communication in autonomous vehicles. This chapter presents a comprehensive framework and solutions for integrating fog computing into intelligent vehicle systems, enabling autonomous features, low-latency data processing, reliable communication, and enhanced decision-making capabilities. By offloading computational tasks to nearby fog nodes, this framework optimizes resource utilization, reduces network congestion, and enhances vehicle autonomy. The chapter discusses various use cases, architectures, communication protocols, and security considerations within fog computing, ultimately contributing to the evolution of intelligent and autonomous vehicles.

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Fog-Enabled Framework for Patient Health-Monitoring Systems Using Internet of Things and Wireless Body Area Networks

Cited by 3 publications

References 21 publications

Advancing Healthcare Monitoring: Integrating Machine Learning With Innovative Wearable and Wireless Systems for Comprehensive Patient Care

Advancing Healthcare Monitoring: Integrating Machine Learning With Innovative Wearable and Wireless Systems for Comprehensive Patient Care

Fog Computing-Integrated ML-Based Framework and Solutions for Intelligent Systems

Fog Computing-Based Framework and Solutions for Intelligent Systems

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