Abstract
Employment of the Internet of Things (IoT) technology in the healthcare field can contribute to recruiting heterogeneous medical devices and creating smart cooperation between them. This cooperation leads to an increase in the efficiency of the entire medical system, thus accelerating the diagnosis and curing of patients, in general, and rescuing critical cases in particular. In this paper, a large-scale IoT-enabled healthcare architecture is proposed. To achieve a wide range of communication between healthcare devices, not only are Internet coverage tools utilized but also satellites and high-altitude platforms (HAPs). In addition, the clustering idea is applied in the proposed architecture to facilitate its management. Moreover, healthcare data are prioritized into several levels of importance. Finally, NS3 is used to measure the performance of the proposed IoT-enabled healthcare architecture. The performance metrics are delay, energy consumption, packet loss, coverage tool usage, throughput, percentage of served users, and percentage of each exchanged data type. The simulation results demonstrate that the proposed IoT-enabled healthcare architecture outperforms the traditional healthcare architecture.
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Blockchain-Based IoT E-Healthcare;Handbook of Research on Solving Societal Challenges Through Sustainability-Oriented Innovation;2023-03-23
2. Fuzzy-logic-based IoMT framework for COVID19 patient monitoring;Computers & Industrial Engineering;2023-02
3. The Anatomy of an Infrastructure for Digital Underground Mining;Proceedings of the 8th International Conference on Internet of Things, Big Data and Security;2023
4. A Dynamic Management Scheme for Internet of Things (IoT) Environments: Simulation and Performance Evaluation;Computer Modeling in Engineering & Sciences;2022