SeAF-PrS: Effective and adaptive priority scheduling scheme for improving the quality of service in wireless body area networks

Abstract

The Wireless Body Area Networks (WBAN) hold immense capability in medical services with the significant benefits of remote patient health monitoring. Since data transmission is the major step for real-time diagnosis, conventional healthcare applications exhibited lower adaptability and continuous transmission of data resulting in higher energy losses. Therefore, the research focuses on improving the quality of services through an efficient technique Known as Sensitive and Adaptive Flitter optimized priority scheduler (SeAF-PrS). The data transmission is performed when deviations from the original signal levels is noticed. The application of the Sensitive and Adaptive Flitter Optimization (SeAFO) algorithm improves data scheduling by assisting in the selection of high-priority signals for patients that require immediate diagnosis. In addition, the modified shift rows (MSR) encryption scheme provides higher security through the encrypting of data packets as well as the authentication check allows only the verified users to access the patient data. The proposed approach is compared against the traditional healthcare monitoring systems which reveal improved efficiency with a throughput of 0.74 kbps, minimum delay of 0.100 ms, and energy loss of 7.37 J for 10 nodes with 250 users.