Kablosuz gövde alan ağlarında enerji başarımının uygulamaya özel iyileştirilmesi

In WSN, nodes are equipped with limited battery energy; therefore, they have to be recharged for the continuous operation. Therefore, increasing the energy efficiency of the nodes is necessary for increasing their functional lifetime which, in turn, means less frequent energy based maintenance operations. This fact is of critical importance as it directly affects the usability and acceptance of the monitoring system proposed as a whole.In this study, a novel approach based on deriving application specific information is employed: on board processing, duty cycle. To demonstrate the concepts proposed, two mobile health monitoring scenarios with different internal characteristics are chosen, namely the heart rate monitoring and the pedometer. Embedded algorithms specific to the applications are developed and the energy gain figures are reported. Specific to the pedometer case, dynamic sleep scheduling with parameters modeling the application is implemented. Experiments with both real and synthetic data are carried out. It has been shown that the algorithm parameters affect the monitoring performance and the energy performance differently and that operating regions where high quality monitoring achieved with less energy consumption indeed exists.To gain energy, to consume less and to conserve the application quality, a novel approach is utilized in this study. With the scenarios and chosen applications, different cases are observed and analyzed. By using on board processing, packet transfer between the sensor device and the local center decreases and with the sleep scheduling that makes the sensor sleep with a dynamically calculated duration, we obtain gain of energy and increase the lifetime of the node.