IEACC: An Intelligent Edge-Aided Congestion Control Scheme for Named Data Networking With Deep Reinforcement Learning

As a promising implementation of Information-Centric Networking (ICN), Named Data Networking (NDN) has potential advantages over the TCP/IP network in content distribution, mobility support, etc. However, the research on NDN is still in its infancy, and congestion control, NDN's most important...

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Vydané v:	IEEE eTransactions on network and service management Ročník 19; číslo 4; s. 4932 - 4947
Hlavní autori:	Yang, Jiayu, Chen, Yuxin, Xue, Kaiping, Han, Jiangping, Li, Jian, Wei, David S. L., Sun, Qibin, Lu, Jun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.12.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Bandwidth Clustering Congestion congestion control Consumers Data transmission Deep learning Detectors fairness Image edge detection Internet Machine learning Named data networking Packet loss Reinforcement learning Routers TCP/IP (protocol) TCPIP Transmission rate (communications)
ISSN:	1932-4537, 1932-4537
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