LoRa Networks Simulator

Discrete-event simulator based on SimPy for simulating collisions in LoRa networks and to analyse scalability.
In addition to the original simulator, this version has two new features: Model and Random.

Synopsis

./loraSim.py <nodes> <experiment> <model> [random] [collision]

Model

This feature is referred to the path loss model. The two models used are the Log-Distance one and the Okumura Hata one. The second dipends on the height of the Base Station hb and the Mobile Station hm which are customizable through the main section.
The implemented pathloss models are:

• 0 set the log-distance model
• 1 set the Okumura-Hata for small and medium-size cities model
• 2 set the Okumura-Hata for metropolitan areas
• 3 set the Okumura-Hata for suburban enviroments
• 4 set the Okumura-Hata for rural areas
• 5 set the 3GPP for suburban macro-cell
• 6 set the 3GPP for metropolitan macro-cell

Random

By setting random_placement = 0, the user is passing the right position of nodes with a file called Position.txt. At the end of the simulation in the Report file he can find some info about each node like Position, Distance or RSSI
*1 random placement for nodes
*0 placement for nodes passed as imput

Further Reading

A Novel Experimental-based Tool for the Design of LoRa Networks

(c) 2018 Luca Gioacchini