DWBAN: Dynamic priority based WBAN architecture for healthcare system

The recent advances in autonomous and sensor technology have led to the invention of a new class of intelligent network is called Wireless Body Area Network (WBAN). This elegant network facilitate a broad range of ubiquitous computing applications like Health, Military, Aviation, Environment and Entertainment etc. Concerning the huge demand and elevated cost of health, a novel and excellent WBAN architecture was developed in the area of Healthcare systems for providing intelligent and dynamic services. The innovation of this architecture lies in dynamic prioritization for handling heterogeneous traffic in healthcare WBAN. This paper explores principle for accurate identification and notification of frequent change in various parameters (i.e. traffic flows, vital signals, available resources etc.), classification and scheduling of heterogeneous packet, and generation and transmission of alerts to the MSU. The proposed architecture is validated through comparison with existing architectures.

I. Introduction

Wireless Body Area Network (WBAN) is currently one of the focused areas of interest in order to overcome the challenges encountered in various sensor applications. Among all of those, healthcare system is one. The sensorsneed to be worn by the individual in order to collect requiredvital signals from various body parts [6]–[7]. In any healthcare system, the major challenge lies to provide high quality of service, accessibility, andaccuracy within the cost limits [1]–[5]. In the proposed system, a doctor has the privilege to remotely monitor, diagnose, and access patient's vital signals. Itincludesmechanisms like data sensing; pre-processing; data aggregation; data handling.and quality of service management [8]–[9]. This architectureattempts to overcome issues like packet loss, drop, delay, jitter, and throughput in order to improve WBAN performance [10]–[11], by providing alerts, decidingdata rates, bandwidth, and transfer time, and remedying loss, drop and starvation rate [12].