LoRa Signal Propagation Modeling for Medical Communication

The wireless body area network (WBAN) is the connection of the multiple devices like sensors and actuators attached to the human body for measuring bio signals like heart rate, blood pressure, and brain signals. The current development in new-age technologies like Internet of Things (IoT) has contributed to the fields of healthcare and wireless technologies. It supports WBAN by connecting various sensors and actuators to collect and analyze the data effectively. In this particular paper, we describe our work related to IoT for WBAN, that analyzes the pathloss with the help of channel modeling. A channel model is the cornerstone of every communication connection, whereas curve fitting helps us in constructing the best fit for a set of data points in a curve to analyze it properly. The project involves taking measurements in the 868MHz frequency band in an outdoor environment in realistic conditions. Our work aims to calculate the pathloss based on received signal strength indicator (RSSI) measurements of various scenarios. Measurements are conducted for both the line of sight (LOS) and non-line of sight (NLOS) scenarios. Consequently, the average pathloss was 87.809dB for the LOS scenario and 91.371dB for the NLOS scenario.