Secure and Adaptive IoT Network Architecture for Smart Hospitals with Load Balancing in Diabetic Care Systems

Abstract

The digital healthcare sector, often referred to as the smart hospital domain, has emerged as one of the most transformative and crucial areas in modern technological advancement. Its significant impact is primarily due to the ability to efficiently gather and manage patient data. This study proposes a network design specifically tailored for healthcare environments, with a focus on diabetes-related applications. Using the Cisco Packet Tracer simulation tool, this research assists healthcare providers specializing in diabetes care in making informed decisions regarding their network infrastructure. The primary objective of this work is to demonstrate a practical implementation of network systems that are suitable for diabetes care, emphasizing the need for high-performance connectivity. Special attention is given to optimizing bandwidth usage and addressing load balancing challenges within simulated environments. The network’s effectiveness is assessed using various metrics, including traffic load simulations to evaluate scalability and reliability, as well as security assessments, such as penetration testing. These evaluations aim to enhance operational efficiency and improve the quality of care provided to patients.