Paper Details

Name: Gurwinder Singh
Country: India

Year: 2024
Volume: Volume-11, Issue-2 (July-December)
Page Number: 45-52

ABSTRACT
Recent studies have increasingly focused on the role of Internet of Things (IoT) technologies in transforming healthcare systems. With rapid growth in applications such as remote health monitoring and fitness tracking, IoT has become a key enabler in improving patient care and system efficiency. A significant body of research has explored ways to enhance monitoring accuracy and overall performance in IoT-driven healthcare solutions. This work examines various architectural approaches used in IoT healthcare, with particular attention to cloud-integrated systems that support scalable data storage and processing. Critical factors such as accuracy and energy efficiency remain central challenges, and many studies aim to optimize these aspects to ensure reliable and sustainable operation. Additionally, data management strategies within cloud-supported IoT frameworks are analyzed to understand how large volumes of health data can be handled effectively.
The review also highlights the strengths and weaknesses of existing IoT-based healthcare systems. Many solutions demonstrate strong capabilities in detecting symptoms early and supporting disease prediction with high precision. Notably, IoT applications designed for elderly care provide practical and efficient tools for continuous health monitoring. However, several challenges persist, including high energy consumption, limited resource availability, and security concerns arising from the use of multiple interconnected devices.