5G-backed resilience and quality enhancement in internet of medical things infrastructure for resilient infrastructure

5G-backed resilience and quality enhancement in internet of medical things infrastructure for resilient infrastructure

FF-Bi-directional long short-term memory
Heart disease
Internet of medical things
M-health
Process innovation
Resilient infrastructure

The internet of medical things (IoMT) has transformed the healthcare sector by facilitating real-time monitoring, remote patient care, and tailored healthcare solutions. However, the challenge of upholding a high standard quality of service (QoS) in IoMT implementations remains a pressing issue. This article delves into the possibilities of utilizing 5G networks and smart techniques to optimize QoS within IoMT systems. By capitalizing on the capabilities of 5G networks, including substantial bandwidth, minimal latency, and extensive connectivity, in conjunction with intelligent methods such as machine learning and predictive analytics, this paper introduces novel strategies to enhance QoS in IoMT environments. The summary underscores the advantages of these methods in elevating network dependability, diminishing latency, enhancing data transmission efficiency, and enabling resource allocation efficiency in IoMT deployments. Additionally, it explores the potential ramifications of these developments on healthcare outcomes, patient contentment, and the overall effectiveness of the healthcare system. The conclusions propose that by maximizing QoS through 5G networks and intelligent techniques, IoMT holds the potential to significantly enhance the delivery of healthcare services, fostering a more interconnected and efficient healthcare ecosystem in the process innovation.

Noora Jamal Ali1, Noor Amer Hamzah2,3, Ahmed Dheyaa Radhi4, Yitong Niu5, Poh Soon JosephNg6, Jamal Fadhil Tawfeq7

Journal homepage: http://telkomnika.uad.ac.id

Dec 22, 2024

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