lora-space

LoRa Direct-to-Satellite IoT Simulator

LoRa-Space is a simulator for Direct-to-Satellite IoT (DtS-IoT) networks based on LoRa technology. It is implemented in Python using the SimPy discrete-event simulation library.

The tool enables realistic modeling of LEO satellite-based LoRa networks, allowing users to evaluate performance under a variety of orbital, link, and traffic configurations.

Scenarios

• narrow scenario: Optimized for dense device deployments within a limited coverage area.
• wider scenario: Suitable for large-scale or regional networks, simulating broader satellite footprints and more diverse device distributions.

Features

• LoRa Network Simulation: Model and test fully customizable LoRa-based networks for data collection onboard LEO satellites.
• Orbital Configuration: Modify satellite orbital parameters such as altitude, inclination, and coverage footprint.
• Device and Traffic Modeling: Define the number of LoRa devices, their geographical distribution, and the traffic injection model (periodic, random, etc.).
• Parameter Customization: Configure key LoRa end-device parameters, including: Spreading Factor (SF), Transmission Power (TX Power), Data Payload Size, Bandwidth and Frequency Channel
• Performance Evaluation: Collect metrics such as packet delivery ratio, collision rate, and channel utilization.

Requirements

• Python 3.x
• Libraries: simpy, numpy, math, sys

Installation

git clone https://github.com/alvarezguido/lora-space

• Once donwload, simple run the relevant script
• Edit the script parameters to adjust network size, traffic model, or orbital configuration.

This work was published on https://ieeexplore.ieee.org/document/9825690