DocumentCode
3345200
Title
Notice of Retraction
Congestion control in TCP/IP differentiated services network using neural network
Author
Tran Xuan Truong ; Le Hung Lan ; Nguyen Duy Viet ; Mai Vinh Du
Author_Institution
Fac. of Electr. & Electron. Eng., Univ. of Transp. & Commun., Hanoi, Vietnam
Volume
2
fYear
2011
fDate
26-28 July 2011
Firstpage
686
Lastpage
690
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The use of internet services for time sensitive applications like voice and video, requires the forecasting quality of service. The TCP/IP differentiated services structure is given to achieve this target. However, network congestion control is limited and comes from the high priority. Some studies are still seeking a replacement techniques such as random early detection (RED) and its modification to manage congestion. In this paper we present neural network control research results to implement RED, called NRED. We found that with neural network we can perform better for discrimination acts to cancel the packets for gathering traffic flow, and also provide better quality services to all types different traffic while ensuring high utilization.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The use of internet services for time sensitive applications like voice and video, requires the forecasting quality of service. The TCP/IP differentiated services structure is given to achieve this target. However, network congestion control is limited and comes from the high priority. Some studies are still seeking a replacement techniques such as random early detection (RED) and its modification to manage congestion. In this paper we present neural network control research results to implement RED, called NRED. We found that with neural network we can perform better for discrimination acts to cancel the packets for gathering traffic flow, and also provide better quality services to all types different traffic while ensuring high utilization.
Keywords
DiffServ networks; Internet; neural nets; quality of service; telecommunication congestion control; transport protocols; Internet services; TCP/IP differentiated services network; TCP/IP differentiated services structure; network congestion control; neural network control research; quality of service; random early detection; replacement technique; traffic flow; Biological neural networks; Delay; Educational institutions; IP networks; Internet; Quality of service; Throughput; Congestion control; TCP/IP differentiated service; neural network control;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location
Shanghai
ISSN
2157-9555
Print_ISBN
978-1-4244-9950-2
Type
conf
DOI
10.1109/ICNC.2011.6022228
Filename
6022228
Link To Document