Packet Normalized based PEH-QoS Energy Management in WBAN Network Powered by Human Energy Harvesting

Energy scavenging from the human environment is the new innovative idea to feed the sensors and to provide uninterrupted service in wireless body area network. The functioning of the body node highly depends upon the available power to detect events and to transmit them over a wireless network. The system performance depends upon the available energy and calculated in terms of its quality of service, delay, and throughput and packet loss. Moreover the available energy further reckons on the harvesting source accessibility. This concludes a condition where the system has to attain its performance with the available energy. Hence we propose a power management scheme in this paper which includes three algorithms. These algorithms provide a guarantee to the system performance under critical energy conditions for differentiating the data into normal, critical and highly critical categories in the queue. It emphasis to transmit the highly critical data as the first priority and considering the normal information at least priority or even discard the normal information under critical energy conditions to remove duplicity to give space to the highly critical data in the queue. Considerable simulations are carried out to interpret the performance of the system under these algorithms for different human activities such as relaxing, walking, running and cycling. This proposed system assures the quality of service (QoS) in ECG node performance.