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Melding Fog Computing and IoT for Deploying Secure, Response-Capable Healthcare Services in 5G and Beyond
Christos Tselios1, Ilias Politis2,3, Dimitrios Amaxilatis4
1Wireless Communications Laboratory, University of Patras, 26504 Patras, Greece.
Fifth-generation (5G) mobile networks enable advanced remote healthcare services. This paper explores 5G architecture and proposes solutions using Internet-of-Things (IoT) and Fog Computing to overcome current limitations for improved health monitoring and response.
Area of Science:
- Telecommunications Engineering
- Health Informatics
- Computer Networking
Background:
- The fifth generation (5G) mobile network promises hyper-connectivity, offering massive capacity and unprecedented speeds.
- Augmented, response-capable healthcare services are a key objective for 5G adoption.
- Current limitations in healthcare technology hinder the full realization of advanced remote services.
Purpose of the Study:
- To present 5G architectural elements crucial for efficient remote healthcare.
- To detail capabilities for emergency health monitoring and response systems.
- To propose a scheme for mitigating existing issues in remote healthcare delivery.
Main Methods:
- Analysis of 5G network architecture and its relevant features for healthcare.
- Integration of Internet-of-Things (IoT) devices for data collection and remote monitoring.
- Application of Fog Computing principles to process data closer to the source, reducing latency.
Main Results:
- Identification of specific 5G features that support high-bandwidth, low-latency healthcare applications.
- Demonstration of how IoT and Fog Computing can enhance real-time health data analysis and response.
- A proposed holistic scheme designed to address current limitations in remote healthcare service delivery.
Conclusions:
- 5G networks provide a robust foundation for next-generation remote healthcare services.
- The integration of IoT and Fog Computing is essential for overcoming technical challenges and ensuring reliable healthcare.
- This work contributes to the development of efficient and responsive remote health monitoring and emergency response systems.
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