The Characteristic Analysis of the Body Conditions for Efficient Transmission Power Control Algorithms in Wearable Healthcare Systems

In wearable healthcare systems (WHCSs), sensor devices, which can be deployed around parts of the human body and have limited lifetimes, control its transmission power level (TPL) based on transmission power control (TPC) algorithms for saving the energy consumption. A transmission and a reception part of WHCSs bring more energy consumption than other modules such as a sensing and a logging. Therefore, if sensor devices can reduce a number of transmission and reception packets, they can increase their lifetimes as much as reduced packets. Because many times sensed data packets are negligible, in this case sensor devices cannot send data packets. In this paper, we first analyze the characteristics of the human body conditions using the real-collected body condition data set to show the existence of the negligible period during communication times. Then, we implement the TPC algorithm to compare the performance of with or without the consideration of the human body conditions.