On the Performance of Potential Rate and Lifetime in LoRa Networks

Abstract

The performance of long-range (LoRa) networks is investigated in the present paper. Particularly, we study and optimize the performance of the potential rate and average lifetime of an end device (ED). To be more precise, we take into account all operation states of an ED. Additionally, tools from stochastic geometry (SG) are employed to model the positions of the EDs. We then study the performance of the potential rate. Next, a pair of spreading factor (SF) and current transmission is selected to maximize the potential rate and average lifetime of the end devices. Numerical results show that there always exists a pair of SF and current transmissions that maximize the performance of the potential rate. Furthermore, the lifetime of the end devices is always above 4.5 years under the current setup and can be lasted up to a decade if the report frequency reduces to once per day.