Secure and Fault-Tolerant IoT-Based Healthcare System for Reliable Decision-Making

Abstract

Internet of Things (IoT) integration has revolutionized healthcare, offering personalized medical care through remote patient monitoring and telemedicine. However, challenges remain in critical healthcare scenarios, such as data security vulnerabilities and system failures. This paper proposes an IoT-based healthcare system that is fault-tolerant and secure. As part of the proposed Fault-Tolerant Data Management (FTDM), advanced encryption techniques, fault-tolerant data management, and intelligent algorithms will safeguard patient data and guarantee system resilience. Utilizing a fault-tolerant system with two levels enhances data management, reduces energy consumption, and minimizes execution time. Based on simulations using iFogSim, the results indicate significant reductions in energy consumption, network usage, execution time, and fault tolerance compared with existing approaches. IoT-enabled healthcare systems can be deployed in resource-constrained environments with greater security and reliability based on the results of this study.