ABEP Performance Analysis of Wireless Body Area Network with Efficient Energy Harvesting Technique

This paper analyzed the average bit error probability (ABEP) in Radio Frequency Energy harvesting in Wireless Body Area Networks (WBAN).Our WBAN model consists of two modules: Sensor Control Unit (SCU) and Medical Control Unit (MCU).SCU sends the physiological signals to the MCU wirelessly.Multiple sensors are connected to acquire various physiological signals from the body.Among all the sensors, only a few sensors' data that are important at that particular moment will be transmitted.The activated sensors are modeled using the Markov Chain to send data to the MCU.Here, binary phase-shift keying (BPSK) modulation was considered under the Rayleigh fading channel for communication.We used Meijer's G-Function to perform ABEP analysis and modified Bessel's function for Asymptotic ABEP analysis.We have found that derived expressions are numerically evaluated and verified by using Monte Carlo simulation.