  This work presents the LR-FHSS-Sim, a free and open-source discrete-event
simulator for LR-FHSS networks. We highlight the importance of network modeling
for IoT coverage, especially when it is needed to capture dynamic network
behaviors. Written in Python, we present the LR-FHSS-Sim main structure,
procedures, and extensions. We discuss the importance of a modular code, which
facilitates the creation of algorithmic strategies and signal-processing
techniques for LR-FHSS networks. Moreover, we showcase how to achieve results
when considering different packet generation traffic patterns and with a
previously published extension. Finally, we discuss our thoughts on future
implementations and what can be achieved with them.
