Revolutionising Healthcare Resource Management with IoT-Integrated Fault-Tolerant Digital Twin Technology

V Shreya Sivani, Vandana J, Sonali Mahesh Rane, Animesh Giri

2025

Abstract

Healthcare systems require reliable monitoring to prevent critical gaps caused by sensor failures, which can compromise patient outcomes and delay medical interventions. Continuous monitoring of vital signs is crucial for timely care, and the integration of advanced technologies has significantly improved accuracy and efficiency. However, traditional systems face challenges such as interruptions due to sensor failures. Digital twin technology, with its fault-tolerant architecture, addresses these issues by enabling real-time replication of sensor systems and ensuring uninterrupted operations. The proposed system achieves a Packet Delivery Ratio (PDR) of 95% for the primary sensor cluster, 80% for the coordinator, and 90% for the backup cluster, demonstrating robust performance even under fault conditions. This approach not only enhances reliability and data integrity but also has the potential to revolutionize resource management and operational efficiency in critical healthcare environments.This paper addresses these challenges by introducing a healthcare monitoring system that leverages digital twin technology.The system employs a dual-layered sensor mechanism where primary sensors continuously gather data, and backup sensors automatically activate in case of primary sensor failure, ensuring high availability and fault tolerance. Additionally, by integrating with cloud-based platforms, the system enables efficient data transmission and real-time monitoring, empowering healthcare professionals with timely access to critical patient information. Comprehensive performance evaluations demonstrate that the system maintains continuous data flow, achieving high reliability and low latency, even during sensor failures. This innovative approach not only transforms patient monitoring systems but also offers a scalable and dependable solution for hospital settings, ultimately contributing to enhanced patient care.

Paper Citation

in Harvard Style

Sivani V., J V., Mahesh Rane S. and Giri A. (2025). Revolutionising Healthcare Resource Management with IoT-Integrated Fault-Tolerant Digital Twin Technology. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 126-134. DOI: 10.5220/0013609800004664

in Bibtex Style

@conference{incoft25,
author={V Shreya Sivani and Vandana J and Sonali Mahesh Rane and Animesh Giri},
title={Revolutionising Healthcare Resource Management with IoT-Integrated Fault-Tolerant Digital Twin Technology},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT},
year={2025},
pages={126-134},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013609800004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT
TI - Revolutionising Healthcare Resource Management with IoT-Integrated Fault-Tolerant Digital Twin Technology
SN - 978-989-758-763-4
AU - Sivani V.
AU - J V.
AU - Mahesh Rane S.
AU - Giri A.
PY - 2025
SP - 126
EP - 134
DO - 10.5220/0013609800004664
PB - SciTePress