Study and Implementation of Heterogeneous Protocols on Wearable Body Sensor Network in E Healthcare Monitoring System

Abstract

The Wireless Sensor Network (WSN) is a dense network of sensors which sense newlinethe environmental conditions, process and propagate the data towards sink node. newlineWireless Body Sensor Network (WBSN) technologies are one of the main research newlinefields in the healthcare and entertainment industry. WBSNs are an attractive proposal newlinefor such scenarios due to the ease of installation, small size, low cost, low newlinepower consumption and low maintenance. Although WBSNs have significant benefits, newlinetheir characteristics create numerous challenges: network mobility, limited newlineresources such as finite power supply, computational power, storage capacity and newlinecommunication capabilities. All proposed schemes in this thesis are compared with newlineexisting protocols in different case studies, demonstrating the behavior of each newlinescheme under varying levels of interference source density, and interference traffic newlineintensity. Issues and challenges pertaining to reliability, energy-efficiency, and newlinerobustness are addressed to and investigated by conducting comprehensive simulation newlinestudies. Beyond this, some of the most promising results of the proposed newlineschemes are also evaluated via an experimental implementation to further validate newlinethe simulation results in a real-life scenario and to assess the feasibility of the newlineproposed schemes on existing WSN nodes. newlineExisting patient monitoring systems may not be accurate all the time and do newlinenot support mobility which leads to false positive prediction. A WBSN was used newlineto develop a patient monitoring system, which offers flexibility and mobility to newlinemonitor patient s health condition. A data mining algorithm to predict the health newlinerisk of the patient in real time with 96% accuracy using historical medical records newlineis proposed. This Online Distribution Resource Aware (ODRA) algorithm gives the newlineaccurate condition of the patients so as to inform the status to physician whenever newlineimmediate attention is required. Results confirmed that the proposed algorithm newlinegives better accuracy and reduce False Positive Rate (FPR) for predicting