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2026-10-20, Week 43
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Virual Oral Question and Answer
IEEE/ICACT20260302 Question.2
Questioner: yangyn@dsp.ac.cn    2026-02-09 오전 12:35:42 		IEEE/ICACT20260302 Answer.2
Answer by Auhor zhaoyb@dsp.ac.cn   2026-02-09 오전 12:35:42
What are the most promising extensions for ISMCC mentioned in the conclusion, such as adaptation to multi-hop scenarios, and how might machine learning be integrated for better traffic prediction? Thank you for your question.In the conclusion of the paper, the most promising extension for ISMCC is enhancing its adaptability to complex WAN conditions, specifically multi-hop scenarios. The current evaluation focuses on simpler topologies to isolate system behavior. However, in a real-world multi-hop environment, coordinating backpressure signals across multiple nodes and ensuring stability without causing oscillation in the state machine will be critical challenges to address in future work.Regarding the integration of Machine Learning (ML),We think it could significantly enhance ISMCC in traffic prediction and dynamic threshold tuning.

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