The Research of an Improved Algorithm for Active Queue Management with BP

Author

Yang, Wenchuan ; Zhou, Zhengming ; Duan, Xiaoyan

Author_Institution

Beijing Univ. of Posts & Telecommun., Beijing, China

fYear

2012

fDate

4-6 June 2012

Firstpage

200

Lastpage

203

Abstract

Active Queue Management (AQM) acts as an enhanced mechanism for end-to-end congestion controlling. It can improve the queue length and usability of data links by the method of drop the packets among nodes in the network. In this paper, we describe the background and design indicator for the AQM. We will discuss the current research status for AQM. Then we will focus on some classical AQM algorithm for AQM, such as RED, ARED, BLUE and RLGD. Finally, we will present a new AQM algorithm framework based on modern artificial intelligent knowledge.

Keywords

artificial intelligence; backpropagation; queueing theory; telecommunication computing; telecommunication congestion control; AQM; ARED; BLUE; BP; RLGD; active queue management; artificial intelligent knowledge; backpropagation; data link usability; end-to-end congestion control; queue length; Algorithm design and analysis; Biological neural networks; Classification algorithms; Educational institutions; Internet; Mathematical model; Training; ARED; Active Queue Management; BLUE; RED; RLED; congestion controlling;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer, Consumer and Control (IS3C), 2012 International Symposium on

Conference_Location

Taichung

Print_ISBN

978-1-4673-0767-3

Type

conf

DOI

10.1109/IS3C.2012.59

Filename

6228282