Open Access   Article Go Back

Simulation Windows Size Quadric Increase Congestion Control Algorithm Implementation using NS3 in Wired Computer Networks Scenario

G. Paliwal1 , S. Taterh2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-6 , Page no. 480-485, Jun-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i6.480485

Online published on Jun 30, 2018

Copyright © G. Paliwal, S. Taterh . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: G. Paliwal, S. Taterh, “Simulation Windows Size Quadric Increase Congestion Control Algorithm Implementation using NS3 in Wired Computer Networks Scenario,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.480-485, 2018.

MLA Style Citation: G. Paliwal, S. Taterh "Simulation Windows Size Quadric Increase Congestion Control Algorithm Implementation using NS3 in Wired Computer Networks Scenario." International Journal of Computer Sciences and Engineering 6.6 (2018): 480-485.

APA Style Citation: G. Paliwal, S. Taterh, (2018). Simulation Windows Size Quadric Increase Congestion Control Algorithm Implementation using NS3 in Wired Computer Networks Scenario. International Journal of Computer Sciences and Engineering, 6(6), 480-485.

BibTex Style Citation:
@article{Paliwal_2018,
author = {G. Paliwal, S. Taterh},
title = {Simulation Windows Size Quadric Increase Congestion Control Algorithm Implementation using NS3 in Wired Computer Networks Scenario},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2018},
volume = {6},
Issue = {6},
month = {6},
year = {2018},
issn = {2347-2693},
pages = {480-485},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2208},
doi = {https://doi.org/10.26438/ijcse/v6i6.480485}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i6.480485}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2208
TI - Simulation Windows Size Quadric Increase Congestion Control Algorithm Implementation using NS3 in Wired Computer Networks Scenario
T2 - International Journal of Computer Sciences and Engineering
AU - G. Paliwal, S. Taterh
PY - 2018
DA - 2018/06/30
PB - IJCSE, Indore, INDIA
SP - 480-485
IS - 6
VL - 6
SN - 2347-2693
ER -

VIEWS PDF XML
469 280 downloads 124 downloads
  
  
           

Abstract

Now these days most of the electronic devices are connected to the internet through wired or wireless computer network. This is very popular networking terminology known as the internet of things IOT, In background each and every internet networking devices are connecting to the backbone networking server. If this backbone network route is congested then IOT devices are suffered from their services and all these things are lacking in performance. The high throughput and low latency internet services are required for each device to do well. There is a number of reasons behind the internet speed. The most important reasons are that the TCP/IP protocol does not completely use the actual channel bandwidth and congestion occurrence during the data transmission. TCP provides the connection-oriented connection. TCP may have a problem with utilizing the full bandwidth of the communication channel. Numbers of congestion control proposals have been suggested to reduce this problem. This paper presents the implementation of a quadric increase congestion control algorithm and it’s simulation through the NS3. This algorithm is based on binary increased congestion control algorithm (TCP BIC). In ns3 TCP QIC is separately implemented and tested with the different congestion control algorithms. These congestion control algorithms are TCP Westwood, BIC, NewReno, scalable and Illinois. The performance of the TCP QIC has the significance over the other congestion control algorithms in respect of throughput, goodput, delay variance and round-trip time.

Key-Words / Index Term

Hybrid TCP Illinois, Congestion Control Algorithm, TCP BIC, TCP New Reno, NS3, TCP (Transmission control protocol) , QIC: Quadric Increase Congestion control algorithm

References

[1] K. Nagori, et al., "Common TCP Evaluation Suite for ns-3: Design, Implementation and Open Issues," in Proceedings of the Workshop on ns-3, 2017, pp. 9-16.
[2] H. J. A. Nasir, et al., "Load balancing using enhanced ant algorithm in grid computing," in Computational Intelligence, Modelling and Simulation (CIMSiM), 2010 Second International Conference on, 2010, pp. 160-165.
[3] H. J. A. Nasir, et al., "Enhanced Ant-Based Routing for Improving Performance of Wireless Sensor Network," International Journal of Communication Networks and Information Security (IJCNIS), vol. 9, 2017.
[4] A. M. Kishk, et al., "Proposed Jamming Removal Technique for Wireless Sensor Network," 2015.
[5] P. Yang, et al., "TCP congestion avoidance algorithm identification," IEEE/Acm Transactions On Networking, vol. 22, pp. 1311-1324, 2014.
[6] B. Levasseur, et al., "A TCP CUBIC implementation in ns-3," in Proceedings of the 2014 Workshop on ns-3, 2014, p. 3.
[7] G. Paliwal and S. Taterh, "A Topology Based Routing Protocols Comparative Analysis for MANETs."
[8] M. Allman, et al., "RFC 2581: Tcp congestion control, April 1999," Obsoletes RFC2001 [48], 2001.
[9] M. Allman, "TCP congestion control with appropriate byte counting (ABC)," 2003.
[10] W. Hua and G. Jian, "Analysis of TCP BIC Congestion Control Implementation," in Computer Science & Service System (CSSS), 2012 International Conference on, 2012, pp. 781-784.
[11] G. Paliwal and S. Taterh, "Impact of Dense Network in MANET Routing Protocols AODV and DSDV Comparative Analysis Through NS3," in Soft Computing: Theories and Applications, ed: Springer, 2018, pp. 327-335.
[12] L. Xu, et al., "Binary increase congestion control (BIC) for fast long-distance networks," in INFOCOM 2004. Twenty-third AnnualJoint Conference of the IEEE Computer and Communications Societies, 2004, pp. 2514-2524.
[13] S. Feyzabadi and J. Schönwälder, "Identifying TCP Congestion Control Mechanisms Using Active Probing," Computer Science Department, Jacobs University Bremen, Germany.
[14] L. A. Grieco and S. Mascolo, "Performance evaluation and comparison of Westwood+, New Reno, and Vegas TCP congestion control," ACM SIGCOMM Computer Communication Review, vol. 34, pp. 25-38, 2004.