IoT-based Secure and Energy Efficient scheme for E-health applications

Abstract

Background/objectives: This study presents a secure and energy-efficient scheme of patient's data transmission from wearable IoT sensors (WIS) to base station (BS). IoT sensors are widely used in the healthcare domain for real-time data collection and transmission. However, these sensors are resource-constrained in terms of computational power and storage due to which chances of security breaches and threats increase. Moreover, with time the energy level of IoT sensors also degrade that sometimes leads towards loss of sensitive patient data. Purpose: The purpose of this study is to provide secure data transmission between wearable sensors and base stations and increasing energy efficiency of resource-constrained wearable IoT sensors. Method: The proposed scheme was tested by creating a mathematical model and then creating a simulation setup using the Cooja Contiki simulator. Findings: The results show that the proposed scheme provides secure and energy-efficient data transmission from WISs to BS as compared to the existing approaches. Further, the proposed scheme addresses some key issues including availability, reliability, scalability, and limited patient mobility. Novelty: Our research presented a unique approach for e-health applications using the IoT, where we considered the lightweight and secure scheme providing multiple group node concept.