Title: Internet of medical things: a performability performance analysis

Authors: Lucas Santos; Tuan Anh Nguyen; Francisco Airton Silva

Addresses: Universidade Federal do Piauí (UFPI), Picos, Piauí, Brazil ' Konkuk University, Seoul, South Korea ' Universidade Federal do Piauí (UFPI), Picos, Piauí, Brazil

Abstract: The Internet of Things (IoT) is a network of interconnected devices that exchange data over the internet, utilising sensors, software and advanced technologies. IoT devices enable cost-effective data collection with minimal intervention. However, evaluating IoT performance can be costly, necessitating the use of analytical models as a viable alternative. This paper proposes a configurable queue network model to evaluate IoT performance in medical environments, specifically focusing on the transmission of medical data from sensors in patients' rooms to local clients. With queuing theory, it is possible to simulate how hospital systems prioritise patients according to their urgency, ensuring optimal resource allocation and timely provision of care. Through modelling patient arrivals and service durations using queuing theory, healthcare providers can refine triage protocols, swiftly directing high-priority patients towards suitable care pathways while mitigating wait times. The model offers insights for optimising computing architectures in IoT environments. Evaluating the reliability, availability and performance of e-health systems is critical, even in the early stages of system design. Digital systems can streamline interactions between connected devices, enhancing and optimising their functionalities in the highly connected world. The paper underscores the importance of patient-centric healthcare delivery and IoT performance evaluation in the context of hospital environments.

Keywords: internet of medical things; performability quantification; stochastic modeling; queuing network; performance analysis; DoE; design of experiments.

DOI: 10.1504/IJCAT.2024.144667

International Journal of Computer Applications in Technology, 2024 Vol.75 No.1, pp.35 - 47

Received: 03 Oct 2023
Accepted: 07 May 2024
Published online: 26 Feb 2025 *

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