Application of Sensor Networks for Measuring Insulin Levels

Abstract

All WBANs are low-speed networks consisting of intelligent sensors and low-power actuators that can be placed on the body or implanted in humans. With the help of these networks, timely on-line data on unusual conditions of the human body can be provided, which leads to significant improvements in the quality of life. The implementation of these networks will save lives, reduce healthcare costs, and eliminate the need for costly monitoring of patients in the hospital. The paper analyzes the possibilities of the Internet of Things technology, communication standards, cloud technologies, and hardware components for developing a system for monitoring insulin levels in diabetic patients. A model and algorithm for design, construction, and management of a sensor network for monitoring insulin levels with simulation software based on the Internet of Things technology proposed. A system for monitoring insulin levels through a cloud structure has designed, which sends a message to a specialized health centre or the attending physician about the condition of diabetic patients. Simulation studies performed, and the operability of the system examined. The results give reason to believe that the considered model and the simulation project of a system for monitoring insulin levels in patients with diabetes is successful, gives realistic and reliable results for early diagnosis and prevention of various complications and can be implemented in practice.