LR-FHSS-Sim: A Discrete-Event Simulator for LR-FHSS Networks

TL;DR

LR-FHSS-Sim is an open-source Python-based discrete-event simulator designed for modeling LR-FHSS networks, aiding IoT coverage analysis by capturing dynamic network behaviors and supporting modular algorithm development.

Contribution

This paper introduces LR-FHSS-Sim, a modular, open-source simulator for LR-FHSS networks, enabling detailed network modeling and analysis for IoT applications.

Findings

Supports various traffic patterns

Facilitates algorithm and signal-processing development

Demonstrates simulation capabilities with extensions

Abstract

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.