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Robust IoT-based nursing-care support system with smart bio-objects.

Cheng-Fa Chiang1,2, Fang-Ming Hsu1, Kuo-Hui Yeh3

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This study presents a secure Internet-of-Things (IoT) nursing-care system using mobile bio-sensors. The developed system ensures efficient data retrieval and robust communication for high-quality, on-demand healthcare services.

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Area of Science:

  • Healthcare Technology
  • Internet of Things (IoT)
  • Mobile Sensing

Background:

  • Mobile sensing technologies have spurred interest in Internet-of-Things (IoT) applications for on-demand medical services.
  • Efficient data processing and contactless retrieval are key advantages of intelligent IoT objects.
  • Robust security primitives are essential for data confidentiality and entity authentication in IoT communications.

Purpose of the Study:

  • To develop a robust nursing-care support system for efficient and secure communication.
  • To facilitate high-quality, on-demand nursing-care services through advanced data analysis.
  • To address the critical need for secure data handling in IoT-based healthcare.

Main Methods:

  • Development of a secure communication system linking mobile bio-sensors, IoT gateway, and backend server.
  • Implementation of an IoT-based testbed using the Raspberry Pi II platform.
  • Protocol analysis to ensure security robustness and performance evaluation.

Main Results:

  • Demonstrated practicability of the proposed IoT-oriented nursing-care support system.
  • Achieved a user-friendly computation cost of 6.33 ms for a normal session.
  • Guaranteed security robustness through comprehensive protocol analysis.

Conclusions:

  • The proposed system's practicability is confirmed by protocol analysis and performance evaluation.
  • The system is highly suitable for Internet-of-Things (IoT) environments.
  • Positioned as a competitive candidate for next-generation nursing-care service systems.