Adaptive PEH-QoS Aware Management Control Scheme Based on Peltier and Piezoelectric Hybrid Model for WBAN Applications

Abstract

Energy harvesting in the medical field is a reliable and effective method to charge the body sensor nodes in Wireless Body Area Networks (WBANs) for medical applications. WBANs provides health monitoring with real time updates for patient’s record. In WBANs, the nodes are used to detect events, which give significant contribution to maintain the Quality of Service (QoS) demands in terms of delay in packet transmission and reception, throughput and packet loss during communication. However, harvesting energy from motion of human body with health is always a challenge for WBANs. This simply increases the need to apt a new hybrid approach of Peltier and Piezoelectric human energy harvesting model for WBANs application. In recent years, a lot of researches related to Piezoelectric and Peltier that are shown in this literature. This paper proposes a hybrid approach of Piezoelectric and Peltier sensors for a WBAN Application. Work involves energy harvesting from movements and temperature gradients (body to ambient). Moreover, to use both of energies at the same time needs effective algorithm which is possible with the optimized way proposed in this paper. Proposed work uses the approach to pass emergency data to neighboring nodes if neighboring node elected as forward node. Election of forward node is selected on the basis of threshold level (α). In WBAN systems criticalness of data depends upon the applications. There are some cases like heart attack, asthma attack, diabetic attack etc requires immediate attention. These cases are considered as critical in nature. As proposed work uses the concept of data forwarding even if the node has not the power to send data up to BNC. Using this concept node which needs to send critical/emergency packets with low battery condition is possible. Proposed approach enhances data delivery and reduces the packet drop.