Call for Paper - January 2024 Edition
IJCA solicits original research papers for the January 2024 Edition. Last date of manuscript submission is December 20, 2023. Read More

A Review of Comparative Analysis of TCP Variants for Congestion Control in Network

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Pooja Chaudhary, Sachin Kumar

Pooja Chaudhary and Sachin Kumar. A Review of Comparative Analysis of TCP Variants for Congestion Control in Network. International Journal of Computer Applications 160(8):28-34, February 2017. BibTeX

	author = {Pooja Chaudhary and Sachin Kumar},
	title = {A Review of Comparative Analysis of TCP Variants for Congestion Control in Network},
	journal = {International Journal of Computer Applications},
	issue_date = {February 2017},
	volume = {160},
	number = {8},
	month = {Feb},
	year = {2017},
	issn = {0975-8887},
	pages = {28-34},
	numpages = {7},
	url = {},
	doi = {10.5120/ijca2017913087},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


TCP is a consistent, association- oriented and extensively used end-to-end transport protocol in the computer network. It gives data in the structure of byte streams, start the connection and it is used in many applications that depend upon secured delivery of information. TCP assigns array to establish their integrity and deliver operation measures from timeouts and retransmissions to provide accuracy. Many analysis affiliate with the computer network processes showed that the accurate characteristics of traffic possess the capacity of time-scale invariant. Such an impact is produced by the specific character of file allocation on servers, their dimensions ahead with an ordinary behavior of users. It was introduce that the data streams, which originally do not show autonomous-analogy properties after being processed at the host server and an effective grid elements, start exhibit the distinct signs of autonomous-analogy. It produces quick buffer overwhelm even with using low factor. If no action is taken to eliminate the arriving traffic then the queues on the maximum weighted boundary will grow repeatedly and finally increase the size of the buffers at the identical nodes This paper presents a comparison of TCP variants for Congestion Control in network concerning the basis of various performance metrics such as end-to-end wait, throughput, queue dimension and packet delay rate using Network Simulator-2 (NS-2). The conclusion show that in high congested network, Vegas does best while in low cohesive network Reno gives best result.


  1. Wang, Zhiming, et al. "TCP congestion control algorithm for heterogeneous Internet." Journal of Computer Applications and Networks 68 (2016): 56-64.
  2. Ou, Shih-Hao et al. "Out-of-order transmission facilitates Congestion and scheduling control for multipath TCP." Cellular Communications and Mobile Computing Conference (CCMCC), 2016 International. IEEE, 2016.
  3. Domanski, Adaman, Domanska, J. Pagano, M., & Czachorski, T. (2016, October). The Liquid Flow Similarity of the TCP RENO and VEGAS Congestion Control Mechanism. In International Symposium on Computer and Information Sciences (pp. 193-200). Springer International Publishing.
  4. Abolfazli Elham and Vahid Shah-Mansouri (2016). Dynamic adaptation of queue levels in TCP Vegas-based networks. Electronics Letters, 52(5), 361-363
  5. Radhika Mittal, N. Dukkipati, Emily Blem, Hassan Wassel, M.Ghobadi, A.Vahdat & David Zats (2015, August). TIMELY: RTT-based Congestion Control for the Datacenter. In Computer Communication Review (Vol. 45, No. 4, pp. 537-550). ACM SIGCOMM.
  6. Peng, Yang, et al. “Identification of TCP congestion avoidance algorithm." IEEE/ACM Transactions on Networking 22.4 (2014): 1311-1324
  7. Zhenwei Zhu, Yu Qian, Zhou, and Liu Wenjia, Keren. "Dynamic Vegas: Efficient Congestion Control Mechanisms." In International Conference on Information Technology and Computer Science, pp. 333-340. Springer India, 2014.
  8. Wu Qing-Rui, Jie Hong & Nan Ding (2014). An Enhanced TCP Congestion Control Algorithm Based on Estimation of Bandwidth in Heterogeneous Networks. Journal of Communications, 9(10),2014
  9. Winstein, Balakrishnan Hari and Keith."TCP ex machina: Computer-Originated Congestion Control." In Computer Communication Review, vol. 43, no. 4, pp. 123-134.ACM SIGCOMM,(2013)
  10. Alfredsson Stefan, Garcia, Del Giudice , Brunstrom Anna, Luca De Cicco, & Saverio Mascolo. (2013, June). An Impact of TCP Congestion Control on Bufferbloat in Wireless Networks. In World of Mobile Networks, and Wireless Multimedia (WoMoNWM) (2013 IEEE 14th International Symposium and Workshops on a (pp. 1-7). IEEE
  11. Wang, Jingyuan, Jiangtao Wen, Yuxing Han, Chao Li, Jun Zhang and Zhang Xiong. "CUBIC-FIT: A tremendous performance and TCP Cubic friendly congestion control algorithm." IEEE Communications Letters 17, no. 8 (2013): 1664-1667
  12. Mark Allman, Vern Paxson, and Ethan Blanton. TCP congestion control. No. RFC 5681. 2009.
  13. Lar Saleem-ullah and Xiaofeng Liao. "An initiative for a classified bibliography on TCP/IP congestion control." Journal of Computer Applications and Network 36, no. 1 (2013): 126-133
  14. J.Chicco, D.Collange and A. Blanc, “An imitation study of new TCP variants,” in 2010 IEEE International Conference on Computers and Communications (IICCC), pp. 50–55, 2010.


Congestion Control, TCP Tahoe, TCP Reno, TCP New Reno, TCP Vegas.