Performance Analysis of Priority Medical Events in Healthcare IoT Networks Using 3‐Dimension Discrete Time Markov Chain
Gilang Raka Rayuda Dewa ABSTRACT
A reliable medical service via the Healthcare Internet‐of‐Things (H‐IoT) network employs wireless communications to periodically deliver medical data from in‐body patients to the data center. However, the high number of patients in an ultra‐dense hospital requires the installation of numerous medical sensors, incurring congested network traffic. Data collisions and non‐priority sessions may occur in the corresponding traffic, dropping the overall performance of H‐IoT networks. Thus, it is crucial to rigorously observe the degradation of wireless performance to analyze proper settings and limitations for ultra‐dense H‐IoT. Accordingly, this paper models the operation of a healthcare IoT network using a three‐dimensional discrete‐time Markov chain (3D‐DTMC) to analyze the performance of H‐IoT networks, including expected throughput, expected discovery time consumption, and the probability of successful transmission quantitatively. In addition, this paper also analyzes the impact of different failure factor mechanisms, either cooperative failure or independent failure, on the overall performance of H‐IoT networks.