To propose a hierarchical framework for intelligent and secure IoMT-based healthcare monitoring that addresses data privacy, real-time processing, and energy efficiency challenges.
Approach:
Key Findings:
The proposed system significantly reduces latency for critical alerts.
It improves the battery life of IoT nodes to 8.5 days compared to conventional non-adaptive offloading.
The framework facilitates energy-efficient, privacy-preserving, and real-time healthcare monitoring.
Interpretation:
The results confirm the effectiveness of the proposed framework in addressing the challenges of IoMT.
Limitations:
The study's experimental validation was conducted on a Raspberry Pi 5 testbed, which may not fully represent all IoMT environments.
Further research is needed to evaluate the framework's performance in diverse and complex healthcare scenarios.
Conclusion:
The proposed hierarchical framework enhances the security and energy efficiency of IoMT healthcare monitoring.
