ACCP: adaptive congestion control protocol in named data networking based on deep learning

Named data networking (NDN) is a novel network architecture which adopts a receiver-driven transport approach. However, NDN is the name-based routing and source uncontrollability, and network congestion is inevitable. In this paper, we propose an adaptive congestion control protocol (ACCP) which is...

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Veröffentlicht in:	Neural computing & applications 2019-09, Vol.31 (9), p.4675-4683
Hauptverfasser:	Liu, Tingting, Zhang, Mingchuan, Zhu, Junlong, Zheng, Ruijuan, Liu, Ruoshui, Wu, Qingtao
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive control Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Computer simulation Congestion Data Mining and Knowledge Discovery Deep learning Image Processing and Computer Vision Machine learning Probability and Statistics in Computer Science Queues Queuing theory S.I. : Emergence in Human-like Intelligence towards Cyber-Physical Systems Simulation
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