ISCAS OpenIR  > 天基综合信息系统全国重点实验室
a new congestion control model based on fuzzy neural networks
Liu Lixiang; Zhao Junsuo; Zhang Wenjun; Xu Fanjiang
2006
Conference NameIMACS Multiconference on Computational Engineering in Systems Applications (CESA 2006)
Pages223-230
Conference DateOCT 04-06,
Conference PlaceBeijing, PEOPLES R CHINA
Publish PlaceTSINGHUA UNIVERSITY HAIDIANQU, BEIJING 100084, PEOPLES R CHINA
Publisher2006 IMACS: Multiconference on Computational Engineering in Systems Applications, Vols 1 and 2
ISBN978-7-302-13922-5
DepartmentChinese Acad Sci, Inst Software, Beijing 100080, Peoples R China.
English AbstractIn this paper, a new congestion control model based on fuzzy neural networks (FNNs) is proposed for P2P network, which considers the practical status of data buffer and P2P traffic. The proposed model divides buffer into two queues which store
KeywordP2p Congestion Control Fuzzy Neural Networks (Fnns)
SponsorshipIMACS, IEEE SMC Soc, Tsinghua Univ, Ecole Centrale Lille, Ecole Natl Superieure Arts & Ind Textiles, Natl Nat Sci Fdn China
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/12096
Collection天基综合信息系统全国重点实验室
Recommended Citation
GB/T 7714
Liu Lixiang,Zhao Junsuo,Zhang Wenjun,et al. a new congestion control model based on fuzzy neural networks[C]. TSINGHUA UNIVERSITY HAIDIANQU, BEIJING 100084, PEOPLES R CHINA:2006 IMACS: Multiconference on Computational Engineering in Systems Applications, Vols 1 and 2,2006:223-230.
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