Hybrid model based on peltier and piezoelectric human energy harvesting for WBAN application

Abstract

Wireless body area network (WBAN) is developed as a result of Wireless personal area network (WPAN), in which various interconnected Body Node (BN) communicates near and around human body. There are many differences between the WBAN and WPAN i.e distribution, density and mobility. Due to redundant nodes, BN in WBAN are less dense. In WBAN, Body node are implanted inside and on human body to measure physiological signals using different sensors i.e Electro cardio graph (ECG), electroencephalogram (EEG), Blood pressure, temperature etc) of body which collects data and send it to sink node. Earlier researchers have used either piezoelectric harvester, solar or temperature gradient based. But in this paper optimization technique using combination of Peltier and Piezoelectric human energy harvesting is studied. By developing an algorithm, extensive simulation can be performed considering four human body gestures (relaxing, walking, running and fast running). Overall Quality of Service (QoS) including average (packet loss, end-to-end delay, throughput) and overall detection efficiency is studied.