Open AccessNDN congestion control based on fuzzy comprehensive evaluation algorithm
Author(s) -
Gaolin Cui,
Hui Wang,
Fan Zhou,
Peiyu Li
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1883/1/012008
Subject(s) - network congestion , computer science , network traffic control , active queue management , computer network , node (physics) , queue , flow control (data) , network packet , explicit congestion notification , algorithm , fuzzy logic , real time computing , slow start , engineering , artificial intelligence , structural engineering
The congestion control algorithm of the named data network is not accurate in obtaining the congestion status, and the research is not carried out in time, and a congestion control strategy based on the fuzzy comprehensive evaluation algorithm is proposed. This strategy uses the fuzzy comprehensive evaluation algorithm to calculate and analyze the above two network parameters to obtain the network congestion state by detecting the buffer queue length of the network intermediate node and the actual and predicted round-trip time ratio. In order to refine the degree of network congestion, a variety of congestion is designed. The feedback signal uses the existing NACK feedback mechanism of the NDN network to send a congestion signal to the downstream node, and the downstream node adaptively adjusts the interest packet sending rate according to the congestion signal to achieve the purpose of reducing network congestion. In the NDN-SIM simulator, this algorithm is compared and analyzed with mainstream algorithms, and it is confirmed that this strategy can make full use of network resources and has higher transmission efficiency.