An energy efficient and secure BSN architecture for health care system

Abstract

Wireless Sensor Networks (WSNs) are becoming a significant enabling technology for a wide variety of applications. Advances in WSN have facilitated the realization of pervasive health monitoring for both newlinehomecare and hospital environments. Current technological advances in sensors, power-efficient integrated circuits, and wireless communication have allowed the development of miniature, lightweight, low-cost, and smart physiological sensor nodes. These nodes are capable of sensing, processing, and communicating one or more vital signs, and they can be used in Wireless Body Sensor Networks (WBSNs) for health monitoring. Many studies were performed and are ongoing in order to develop flexible, reliable, secure, realtime, and power-efficient WBSNs suitable for healthcare applications.This research work concentrates on the development of security architecture for cloud based healthcare applications in Body Sensor Networks. This thesis describes the applications, issues and challenges of BSN in healthcare, energy efficient body sensor network architecture using aggregation, secure data collection, storage and data sharing using an authentication algorithm and a novel prediction model which act as an expert system for disease management.The thesis commences with the energy efficient cloud-based body sensor network architecture model for patient health monitoring which is designed to collect the data from the patient by using a cluster-based aggregation algorithm which reduces the energy greatly over the previous architectures. The BSN network newline newline