Simulation of Wireless Body Area Networks (WBAN) with Castalia Framework and Omnet++

Abstract

This thesis focuses on the simulation of a Wireless Body Area Network (WBAN), employed for monitoring human physiological parameters such as body temperature, blood oxygen saturation, and blood pressure through a network of sensors deployed on the human body. The simulation framework was established using OMNeT++ in conjunction with the Castalia platform, enabling the evaluation of the network under various scenarios. The study involved configuring the simulation environment, specifying the number and types of nodes (including sensor nodes and a central sink node), and setting up the necessary applications for data acquisition and transmission. Network performance was assessed using two primary metrics: transmission delay and packet delivery ratio. The obtained simulation results demonstrated that network performance varies according to the chosen scenario and number of sensors, providing valuable insights into the impact of network design on efficiency. These findings contribute to the optimization of WBAN deployment in real world healthcare contexts, particularly in applications requiring high accuracy and responsiveness.