Research of LoRaWAN productivity performance models for building IoT networks

Abstract

The study of the LoRaWAN method application performance models in the IoT networks, which is currently being intensively developed, improved and is an important component of the information society. LoRa is a new long-range, low-power wireless technology that is key to building IoT networks around the world. Unlike other wireless technologies, the signal range and autonomy are enormous. Unlike GSM networks, it does not require bulky equipment with a high level of radiation. It can be easily used in places with mass construction without harm to human health. Two main scenarios for modeling performance improvement were investigated. Based on the results of the research, it is concluded that doubling the bandwidth effectively doubles the baud rate, and increasing the bandwidth reduces the sensitivity of the receiver, while increasing the propagation factor increases the sensitivity of the receiver. It is shown that by slightly changing the ACK procedure, it is possible to significantly improve the system performance in terms of packet delivery factor, system capacity, and energy efficiency. Conversely, it is determined that other system parameters are already well configured.