Implementation of Universal Health Management and Monitoring System in Resource-Constrained Environment Based on Internet of Things

Abstract

The physiological health and chronic diseases of humans can be monitored by linking up health management and monitoring (HMM) system with the Internet of things (IoT), which transcends the restrictions of time and space. However, the IoT network faces several resource constraints, such as limited storage and initial energy of nodes, long delay of response to system transmission, and low rate of successful payments. To solve these problems, this paper explores the IoT-based implementation of universal HMM system in resource-constrained environment. Firstly, the forwarding utility of the communication between adjacent IoT nodes was estimated, and an incentive strategy was prepared for the IoT nodes in the resource-constrained environment. Next, a universal HMM system was designed, and the scheme for denoising, baseline drift filtering, and feature point detection was introduced step by step. After that, the authors presented the design process of the communication protocol, and the workflow of the cloud server. Through experiments, the measurements of the detection modules in the proposed universal HMM system were proved effective, and our algorithm was confirmed superior in the success rate of message delivery, the mean residual energy of nodes, and the delay of system response.