SIMULATOR FOR TIME-SLOTTED LORA NETWORKS

Abstract

A new simulator for evaluating Time-Slotted (TS) LoRa networks is presented. Traditional testing limitations, due to node scarcity, are overcome by enabling virtual analysis under diverse conditions. The simulator features optimized code, removes unnecessary phases, and implements a dynamic retransmission policy with Reinforcement Learning for improved performance. This user-configurable tool empowers researchers to explore TS-LoRa behavior and optimize this emerging technology.