An intelligent scheduling for Network Traffic Management System in congestion Control using GA

International Journal of Electronics and Communication Engineering
© 2014 by SSRG - IJECE Journal
Volume 1 Issue 1
Year of Publication : 2014
Authors : P.Ganeshan and D.prasanna
How to Cite?

P.Ganeshan and D.prasanna, "An intelligent scheduling for Network Traffic Management System in congestion Control using GA," SSRG International Journal of Electronics and Communication Engineering, vol. 1,  no. 1, pp. 15-16, 2014. Crossref,


NETWORK traffic management can prevent a network from severe congestion and degradation in throughput delay Performance. Traffic congestion control is one of the effective approaches to manage the network traffic. Traffic management involves the design of a set of mechanisms which ensure that the network bandwidth and computational resources are efficiently utilized while meeting the various Quality of Service (QoS) guarantees given to sources as part of a traffic contract.The general problem of network traffic management involves all the available traffic classes. In existing intelligent congestion control use the Intel Rate Controller for the instantaneous queue size alone to effectively throttle the source sending rate with max-min fairness while does not considered the non linearity of the traffic control systems and external attacks. In this dissertation we concentrate our efforts on intelligent optimization techniques, such as genetic algorithms (GAs), intrusion detection system (IDS). In GAs facilitate an efficient non-linear function optimization paradigm and avoid congestion in traffic management. The intrusion detection system (IDS) is can detect the attacks. These evaluation result shows our new techniques can achieve better performances than the existing schemes.


Congestion control, GA, QOS.


[1] M. Welzl, Network Congestion Control: Managing Internet Traffic. John Wiley & Sons Ltd., 2005.
[2] R. Jain, “Congestion control and traffic management in ATM networks: recent advances and a survey,” Computer Networks ISDN Syst., vol. 28, no. 13, pp. 1723–1738, Oct. 1996.
[3] V. Jacobson, “Congestion avoidance and control,” in Proc. 1988 SIGCOMM, pp. 314–329.
[4] V. Jacobson, “Modified TCP congestion avoidance algorithm,” Apr. 1990.
[5] K. K. Ramakrishnan and S. Floyd, “Proposals to add explicit congestion notification (ECN) to IP,” RFC 2481, Jan. 1999.
[6] D. Katabi, M. Handley, and C. Rohrs, “Congestion control for high bandwidth-delay product networks,” in Proc. 2002 SIGCOMM, pp. 89–102.
[7] S. H. Low, F. Paganini, J.Wang, et al., “Dynamics of TCP/AQM and a scalable control,” in Proc. 2002 IEEE INFOCOM, vol. 1, pp. 239–248.
[8] S. Floyd, “High-speed TCP for large congestion windows,” RFC 3649, Dec. 2003.
[9] W. Feng and S. Vanichpun, “Enabling compatibility between TCP Reno and TCP Vegas,” in Proc. 2003 Symp. Applications Internet, pp. 301–308.
[10] M. M. Hassani and R. Berangi, “An analytical model for evaluating utilization of TCP Reno,” in Proc. 2007 Int. Conf. Computer Syst. Technologies, p. 14-1-7.