Wearable Electronics in Health Care Applications and Enery Harvesting

Abstract

This research gives a comparative analysis of a link between the magnitude of the received voltage and the received power using three different antennas. The antennas were used to receive radio waves. Conventional etching methods as well as contemporary inkjet printing methods were used during the fabrication of the antennas, which were created with the intention of operating in two separate frequency bands. The relay will then detect the overlaid signal coming from the source, and it will send the destination the signal when it has been decoded. It is possible to compute closed-form outage probability as well as ergodic rates at both the relay and the destination. This issue has been shown to be NP-Complete from a mathematical perspective, and as a result, it cannot be solved with simple effort. In order to achieve this goal, we present a series of approximation algorithms that have been shown to perform well from the point of view of constructing a minimum dominating set (DS). These algorithms combine energy-saving strategies with energy-harvesting strategies in order to extend the lifetime of the network while still meeting the real-time requirements of EH-WBANs. To be more specific, we first provide a centralised method that is able to create DSs with the smallest possible size and find the greatest possible number of DSs. Because the rectifier circuit contains a Schottky diode, which is a non-linear device, the input impedance and echo characteristics will change dramatically depending on the load size and input power. As a result, it has been difficult to design a multi-band high efficiency rectifier with a high dynamic range. As a result, an enhanced impedance compression approach has been presented as a means of reducing the impedance range of nonlinear diodes that have a large dynamic range.