Challenges and Limitation Analysis of an IoT-Dependent System for Deployment in Smart Healthcare Using Communication Standards Features

The use of IoT technology is rapidly increasing in healthcare development and smart healthcare system for fitness programs, monitoring, data analysis, etc. To improve the efficiency of monitoring, various studies have been conducted in this field to achieve improved precision. The architecture proposed herein is based on IoT integrated with a cloud system in which power absorption and accuracy are major concerns. We discuss and analyze development in this domain to improve the performance of IoT systems related to health care. Standards of communication for IoT data transmission and reception can help to understand the exact power absorption in different devices to achieve improved performance for healthcare development. We also systematically analyze the use of IoT in healthcare systems using cloud features, as well as the performance and limitations of IoT in this field. Furthermore, we discuss the design of an IoT system for efficient monitoring of various healthcare issues in elderly people and limitations of an existing system in terms of resources, power absorption and security when implemented in different devices as per requirements. Blood pressure and heartbeat monitoring in pregnant women are examples of high-intensity applications of NB-IoT (narrowband IoT), technology that supports widespread communication with a very low data cost and minimum processing complexity and battery lifespan. This article also focuses on analysis of the performance of narrowband IoT in terms of delay and throughput using single- and multinode approaches. We performed analysis using the message queuing telemetry transport protocol (MQTTP), which was found to be efficient compared to the limited application protocol (LAP) in sending information from sensors.

Automated summary

The use of IoT technology in healthcare and smart healthcare systems is growing rapidly, with applications in fitness programs, monitoring, data analysis, etc. Various studies have been conducted to improve the precision and efficiency of monitoring, and this article discusses the integration of IoT with cloud systems for better healthcare performance. The article also analyzes the use of IoT in healthcare, particularly in elderly care, and examines the limitations and challenges in terms of resources, power absorption, and security. Furthermore, the article explores the high-intensity applications of NB-IoT, such as blood pressure and heartbeat monitoring in pregnant women, and evaluates the performance of narrowband IoT in terms of delay and throughput.