4th International Young Scientist Congress (IYSC-2018).  Dr. Ashish Sharma   Mobile no. :- +975- 77723866 International E-publication: Publish Projects, Dissertation, Theses, Books, Souvenir, Conference Proceeding with ISBN.  International E-Bulletin: Information/News regarding: Academics and Research

Congestion analysis in wireless network using predictive techniques

Author Affiliations

  • 1Department of Computer Science and Engineering, Bhilai Institute of Technology, Durg, India
  • 2Department of Computer Science and Engineering, Bhilai Institute of Technology, Durg, India

Res. J. Computer & IT Sci., Volume 5, Issue (7), Pages 1-4, September,20 (2017)

Abstract

With the increasing number of internet users the non-stop growing traffic is starting to experience unexpected scenario of network congestion. This paper comprehensively reviews on congestion detection and control mechanism using predictive techniques. Here more number of mechanisms and methods are made to identify various types of network problems in existing network environment. Prediction of network congestion is a technique to ensure the reliability, maintenance of network traffic and availability of the network. Rapidly growing need of service, more techniques are implemented to maintain the QoS of the network.

References

  1. Bivens Alan J., Szymanski Boleslaw K. and Embrechts Mark J. (2002)., Network congestion arbitration and source problem prediction using neural network., Smart Engineering System Design, 4(4), 243-252.
  2. Kumar Sachin Saxena, Kumar Dhaneshwar, Sharma Astha, Gupta Nikita and Kochhar Radhika (2013)., Congestion Control in Wired Network for Heterogonous Resource Using Neural Network., Uttarakhand India, 3.
  3. Truong Tran Xuan, Lan Le Hung, Vie Nguyen Duy and Du Mai Vinh (2011)., Congestion Control in TCP/IP Differentiated Service Network Using Neural Network., IEEE Seventh International Conference on Natural Computation 978-1-4244-9953-3, 2, 686-690.
  4. Islam Alim AI A.B.M. and Raghunathan Vijay (2011)., End-to-End Congestion Control in Wireless Mesh Networks using a Neural Network., IEEE WCNC, West Lafayette, 677-682.
  5. Linna Gong Changqing Zhao and Xiaoyan Wang (2007)., Using Neural Network Classifier of Packet Loss Causes to Improve TCP Congestion Control over Ad Hoc Networks., IEEE 2007 International Symposium on Microwave, Antenna, Propagation, and EMC Technologies for Wireless Communications, Tongliao, China, 273-276.
  6. Xiong N., Yang Y., He Jing and He Yanxiang (2006)., On Designing QoS for Congestion Control Service Using Neural Network Predictive Techniques., IEEE 1-4244-0134-8, 299-304.
  7. Rovithakis George A. and Houmkozlis Christos N. (2005)., A Neural Network Congestion Control Algorithm for the Internet., IEEE International Symposium on Intelligent Control Limassol, Cyprus, 450-455.
  8. Cho Hyun C., Sami Fadali M. and Lee Hyunjeong (2005)., Neural Network Control for TCP Network Congestion., American Control Conference June 8-10, Portland, OR, USA 2005, 3480-3485.
  9. Bazmi Parisa and Keshtgary Manijeh (2014)., A neural network based congestion control algorithm for content-centric networks., Journal of Advanced Computer Science & Technology, 3(2), 214-220.
  10. kaura Shilpi and Vatsa A.K. (2011)., A Novel Architecture and Mechanism for Congestion Control in High Speed Network., International Journal of Next-Generation Networks (IJNGN), 3(1), 21-35.
  11. Karthikeyan T. and Subramani B. (2014)., A New Congestion Control Algorithm Based on Novel AQM., T.Karthikeyan et al, / (IJCSIT) International Journal of Computer Science and Information Technologies, 5(3), 4440-4443.
  12. Starks Scott A., Kreinovich Vladik and Narasimhamurthy Prakash (1994)., How to Avoid Congestion in Computer Networks., 0-7803-2125-1 IEEE, 466-469.