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Edge-Fog-Cloud Computing Hierarchy for Improving Performance and Security of NB-IoT-Based Health Monitoring Systems.
Yousef-Awwad Daraghmi1, Eman Yaser Daraghmi2, Raed Daraghma3
1Computer System Engineering Department, Palestine Technical University-Kadoorie, Tulkarem P305, Palestine.
This study introduces an Edge, Fog, and Cloud architecture using Narrow-Band IoT (NB-IoT) for efficient remote health monitoring. The system significantly reduces NB-IoT delay, execution, and authentication times for numerous devices.
Area of Science:
- Internet of Things (IoT) in Healthcare
- Distributed Computing Systems
- Wireless Communication Networks
Background:
- Remote health monitoring systems require efficient data transmission and processing for large numbers of devices.
- Existing architectures face challenges with latency, power consumption, and security for widespread vital signs monitoring.
- Narrow-Band IoT (NB-IoT) offers low-power, wide-area communication suitable for IoT healthcare applications.
Purpose of the Study:
- To propose and evaluate a novel three-layer computing architecture (Edge, Fog, Cloud) for remote health vital signs monitoring.
- To leverage NB-IoT for efficient, low-power communication with a high density of healthcare devices.
- To enhance system security and reduce data processing and transmission delays.
Main Methods:
- Implementation of a three-tier architecture: Edge, Fog, and Cloud computing layers.
- Integration of Narrow-Band IoT (NB-IoT) for device communication.
- Application of machine learning algorithms (Decision Tree, SVM, Logistic Regression) for data analysis.
- Security enhancement through investigation of various authentication protocols.
- Performance evaluation using simulation tools (CloudSim, iFogSim, ns3-NB-IoT) with real vital signs data.
Main Results:
- Achieved a 59.9% reduction in NB-IoT delay.
- Reduced average execution time by 38.5%.
- Decreased authentication time by 35.1% for a large number of devices.
- Demonstrated the architecture's capability to handle a large scale of devices and extensive areas.
Conclusions:
- The proposed Edge, Fog, and Cloud architecture effectively supports efficient remote health monitoring.
- Combining NB-IoT with a multi-layer computing approach optimizes performance for large-scale IoT healthcare systems.
- The architecture successfully addresses challenges in latency, power consumption, and security for vital signs monitoring.
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