期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2013
卷号：3
期号：5
出版社：S.S. Mishra
摘要：The wired network is most imperative parameter in communication among the computers. The use of internet services for time sensitive applications like voice and video requires the quality of service. The TCP/IP also helped in providing the services while communicating from one node to another node. However, network congestion control is limited and comes from the high priority. Some literatures are still looking for 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 on real world. 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. This paper presents an extensive analysis of congestion controls recently proposed in literature. To reach our goal, we have implemented one TCP-friendly congestion controls. Entire work is predicted by Neural Network because it can process multidimensional inputs concurrently and conventionally we had linear regression but now we have NN to give the output more precisely
