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LoRaChainCare: An IoT Architecture Integrating Blockchain and LoRa Network for Personal Health Care Data Monitoring
Bouthaina Dammak1, Mariem Turki2,3, Saoussen Cheikhrouhou4
1Department of Computer Science and Information Technology, Applied College, Princess Nourah Bint Abdulrahman University, Riyadh 84428, Saudi Arabia.
This study introduces LoRaChainCare, a secure and cost-efficient HealthCare Monitoring System (HCS) integrating Blockchain, IPFS, and LoRaWAN. It enhances patient data privacy and real-time monitoring capabilities for improved healthcare delivery.
Area of Science:
- * Health Informatics and IoT Security
- * Distributed Systems and Networking
Background:
- * Significant growth in HealthCare Monitoring Systems (HCS) driven by IoT and Blockchain technologies.
- * Existing HCS face challenges with secure data sharing and patient privacy.
- * Need for robust security policies and cost-effective solutions in remote patient monitoring.
Purpose of the Study:
- * To propose a novel architecture, LoRaChainCare, for secure and efficient HCS.
- * To integrate Blockchain, Interplanetary File Systems (IPFS), Edge/Fog computing, and LoRa communication protocol.
- * To address security concerns and enhance the reliability and cost-efficiency of HCS.
Main Methods:
- * Integration of Blockchain and IPFS for secure data storage and access control.
- * Implementation of Edge/Fog computing for real-time data processing and system reliability.
- * Utilization of LoRa (Long Range) as a Low-Power Wide-Area Network (LPWAN) for efficient sensor device connectivity.
Main Results:
- * Development and real-world implementation of the LoRaChainCare architecture.
- * Evaluation of the system's performance in terms of cost, runtime, and power consumption.
- * Demonstrated enhanced security and privacy for patient data within the HCS.
Conclusions:
- * LoRaChainCare offers a promising, secure, and cost-effective solution for modern HealthCare Monitoring Systems.
- * The proposed architecture effectively combines Blockchain, IPFS, Edge/Fog computing, and LoRa for improved healthcare delivery.
- * The system addresses critical patient concerns regarding data security and privacy in remote monitoring scenarios.
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