[ndnSIM] Self-learning strategy not working properly

[Andrew S]

Hello,
I'm currently working on implementing custom forwarding strategy and would
like to compare it to the existing ones.

I could not find any examples of Self Learning strategy, thus I just
modified the ndn-grid scenario to use self-learning strategy instead of
best-route one. I as well removed the GlobalRoutingHelper (as far as I
understand Self strategy does not need it).
The outcome of the simulation is not what I expected:

Time Node AppId SeqNo Type DelayS DelayUS RetxCount HopCount
4.11533 0 0 1 LastDelay 0.115328 115328 1 4
4.11533 0 0 1 FullDelay 3.11533 3.11533e+06 2 4
7.0865 0 0 0 LastDelay 0.086496 86496 1 4
7.0865 0 0 0 FullDelay 7.0865 7.0865e+06 3 4
12.1153 0 0 2 LastDelay 0.115328 115328 1 4
12.1153 0 0 2 FullDelay 9.11533 9.11533e+06 2 4

So just three satisfied interests over 20 seconds with CBR of 1 interest
per second.

This is the default latest ndnSIM with no modifications except for the ones
I described above.

Could somebody clarify to me if this is the expected way of how
self-learning strategy works? Or am I missing something?

Thanks in advance for any help!

-- 
Andrew S.
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