After getting involved in packet radio a couple years ago, I quickly though to myself how useful it would be if there were a map of network nodes so that operators could have a visualization of the nodes they could connect to. One could determine how many hops it would take to reach their intended destination.
Recently, I set up a BPQ node and was able to connect to other node stations via the AX25 over IP, or AXIP, protocol. This gave me access to a wealth of information from other stations – most notably their node list and their MHeard list, which is a list of stations that can be heard via radio.
Because my node is accessible via telnet, I realized that I could write a Python script to log into it and retrieve my node and MHeard list. Easy enough. However, I then realized that I could take it a step further and log into my node, and then connect to another node to get their node and MHeard lists.
So, I got to work.
- Local operators (Those my radio can hear over the air)
- Local Digipeaters (Stations that repeat signals, that I can hear over the air)
- Nodes that I’m connected to via AXIP
- Remote digipeaters ( Those that I detected from logging into remote nodes)
- Remote operators (Those that I detected from logging into remote notes)
- Network map
The network map shows the links between stations who share a common node. This is intended to show the extent of connectivity of an area.
I’m happy with the finished product after having put a lot of work into it. I hope others find it useful.