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Enhancing Energy Efficiency in Telehealth Internet of Things Systems Through Fog and Cloud Computing Integration: Simulation Study.

Yunyong GuoSudhakar GantiYi Wu
Published in: JMIR biomedical engineering (2024)
The proposed model successfully addresses energy and data processing challenges in telehealth IoT scenarios. By integrating fog computing for local processing and a hybrid cloud infrastructure, substantial energy savings are achieved. Ongoing research will focus on refining the energy conservation model and exploring additional functional enhancements for broader applicability in health care and industrial contexts.
Keyphrases
  • healthcare
  • climate change
  • electronic health record
  • wastewater treatment
  • machine learning
  • health information
  • risk assessment
  • deep learning