Abstract
Wireless Body Area Network (WBAN) is an emerging field in healthcare sector which facilitates remote monitoring by gathering health related data using wearable bio-sensors based on IOT. This technological advancement would significantly improve the tracking of fitness, healthcare delivery, medical diagnostics, early disease prediction and associated medical dealings of any individual. Castalia 3.2 is OMNET++ based simulator for wireless sensor network (WSN), patient monitoring or body area network (BAN) and other low power networks. Its scalable model offers a flexible framework that allows testing new algorithms and protocols for specific applications. The proposed model comprised of five sensor nodes along with a coordinator node. Sensor nodes include electrocardiography (ECG), Blood Oxygen Saturation (SpO2), Blood Pressure, Body Temperature and Body motion. A number of protocols are being proposed on the different layers of WBAN. This paper provides guidance for simulation of various scenarios and characteristics of Wireless Body Area Networks (WBANs) and also furnishes an assessment of quality metrics using Castalia 3.2 Simulator with OMNET++ framework.
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