We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Call for Paper
December Edition
IJCA solicits high quality original research papers for the upcoming December edition of the journal. The last date of research paper submission is 20 November 2024

Submit your paper
Know more
Reseach Article

Routing with Congestion Control in Computer Network using Neural Networks

by Abdulkareem Y. Abdalla, Turki Y. Abdalla, Khloud A. Nasar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 57 - Number 2
Year of Publication: 2012
Authors: Abdulkareem Y. Abdalla, Turki Y. Abdalla, Khloud A. Nasar
10.5120/9089-3031

Abdulkareem Y. Abdalla, Turki Y. Abdalla, Khloud A. Nasar . Routing with Congestion Control in Computer Network using Neural Networks. International Journal of Computer Applications. 57, 2 ( November 2012), 34-41. DOI=10.5120/9089-3031

@article{ 10.5120/9089-3031,
author = { Abdulkareem Y. Abdalla, Turki Y. Abdalla, Khloud A. Nasar },
title = { Routing with Congestion Control in Computer Network using Neural Networks },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 57 },
number = { 2 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 34-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume57/number2/9089-3031/ },
doi = { 10.5120/9089-3031 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:59:26.584097+05:30
%A Abdulkareem Y. Abdalla
%A Turki Y. Abdalla
%A Khloud A. Nasar
%T Routing with Congestion Control in Computer Network using Neural Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 57
%N 2
%P 34-41
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The neural networks are widely used to solve the routing problem and to manage the congestion in the computer networks. In this paper, two methods are proposed to solve this problem. In the first method a feed forward neural network is included in a central node to determine the complete path between any pair of nodes (source, destination). In the second method a routing approach consists of two feed forward neural networks is suggested to solve the routing problem with congestion control. The proposed methods are applied for typical examples of computer networks. Results of the testing show good performance.

References
  1. S. Kumar and R. Miikkulainen, " Confidence_ Based Q_ Routing: An On_ Line Adaptive Network Routing Algorithm ", Proceedings of the Artificial Neural Networks in Engineering Conference, Texas University, Austin, 1998.
  2. D. Davies, D. Barber, W. Price and C. Solomonides, " Computer Networks and Their Protocols", J. Wiley and Sons Ltd, New York, 1979.
  3. J. Malrand, " Communication Networks: A First Course ", R. D. Irwin and Akson Associates, Inc, 1991.
  4. W. Newton, " A Neural Network Algorithm for Internetwork Routing ", Report in Software Engineering, for Degree of Bachelor, 2002.
  5. G. Caro and M. Dorigo, " AntNet: A Mobile Agents Approach to Adaptive Routing ", Technical Report, Iridia University, No. 12, 1997.
  6. C. Tseng and M. Garzon, " Hybrid Distributed Adaptive Neural Router ", Texas University, USA, 1996, E_ mail: tseng@cse. uta. edu.
  7. J. Menke, " Distributed Neural Network Routing ", Proceeding of the ANNIE, 1999.
  8. J. Bivens, B. Szymanski and M. Embrechts, " Network Congestion Arbitration and Source Problem Prediction Using Neural Networks ", Smart Engineering System Design, Vol. 4, 2002.
  9. I. Glauche, W. Krause, R. Sollacher and M. Greiner, " Distributive Routing and Congestion Control in Wireless Multihop Ad_ hoc Communication Networks ", Elsevier Science, arXiv: cond_ mat No. 0404434 V1, 19 April, 2004.
  10. S. Dimitrov, M. Epelman and D. Sharama, " New Models of Network Routing under Active Congestion Control ", Michigan University, Industrial and Operations Engineering Department, 2009.
  11. M. Proebster, M. Schart and S. Hauger, " Performance Comparison of Router Assisted Congestion Control Protocols: XCP vs. RCP ", Stuttgart University, Germany, 2009.
  12. A. Bidgoli, A. Bahri and A. Rahmani," Differentiated Services Fuzzy Assured Forward Queuing for Congestion Control in Intermediate Routers ", Islamic Azad University, Iran, 2011.
  13. A. Dana and N. Salehi, " Congestion Aware Routing Algorithm for Mesh Network-on-Chip Platform ", Indian Journal of Science and Technology, Vol. 5, No. 6, 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Routing congestion control computer network neural network