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Improving Network Efficiency by Selecting and Modifying Congestion Control Constraints

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DOI: 10.4236/cn.2014.62013    4,098 Downloads   5,316 Views   Citations

ABSTRACT

Congestion in wired networks not only causes severe information loss but also degrades overall network performance. To cope with the issue of network efficiency, in this paper we have pro- posed and investigated an efficient mechanism for congestion control by the selection of appropri- ate congestion window size and proactive congestion avoidance, which improves system overall performance and efficiency. The main objective of this work is to choose the accurate size of con- gestion window based on available link bandwidth and round trip time (RTT) in cross and grid topologies, instead of choosing number of hops (Previous researches), we have achieved significant improvement in the overall performance of the network. General simulation results under distinctive congestion scenarios are presented to illuminate the distinguished performance of the proposed mechanism.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Ullah, S. , Shahzad, F. , Khurram, S. and Anwer, W. (2014) Improving Network Efficiency by Selecting and Modifying Congestion Control Constraints. Communications and Network, 6, 105-111. doi: 10.4236/cn.2014.62013.

References

[1] Harb, S.M. and Mcnair, J. (2008) Analytical Study of the Expected Number of Hops in Wireless Ad Hoc Network. WASA '08 Proceedings of the Third International Conference on Wireless Algorithms, Systems, and Applications.
[2] Miller, L.E. (2001) Distribution of Link Distances in a Wireless Network. NIST Journal of Research (Spring).
[3] Huang, P.-K., Lin, X.J. and Wang, C.-C. (2011) A Low Complexity Congestion Control and Scheduling Algorithm for Multi-Hop Wireless Networks with Order-Optimal Per Flow Delay. IEEE/ACM Transactions on Networking, 14.
[4] Zawodniok, M. and Jangannathan, S. (2007) Predictive Congestion Control Protocol for Wireless Sensor Networks. IEEE Transactions on Wireless Communications, 06, 3955-3963.
[5] Jiang, S.M., Zuo, Q. and Wei, G. (2009) Decoupling Congestion Control from TOP for Multi-Hop Wireless Networks: Semi TCP. CHANTS 2009, ACM Transactions.
[6] Fang, W.-W., Chen, J.-M., Shu, L., Chu, T.-S. and Qian, D.-P. (2009) Congestion Avoidance, Detection and Alleviation in Wireless Sensor Networks. Journal of Zhejiang University SCIENCE C, 11.
[7] Raghunathan, V. and Kumar, P.R. (2006) A Counterexample in Congestion Control of Wireless Networks. Elsevier Science.
[8] ONeill, D.C. (2003) Adaptive Congestion Control for Wireless Networks Using TCP. IEEE Proceeding-2003.
[9] Popa, L., Riaciu, C. and Stoica, I. (2006) Reducing Congestion Effects in wireless Networks by Multipath Routing. IEEE Proceeding 2006, 96-105.
[10] Tiwari, B., and Chandavarkar (2010) Congestion Adaptive Routing in Wireless Mesh Networks. 2010 Seventh International Conference on Wireless and Optical Communications Networks (WOCN), Colombo, 6-8 September 2010, 1-5.
[11] Armaghani, F.R., Jamuar, S.S., Khatun, S. and Rasid, M.F.A. (2011) Performance Analysis of TCP with Delayed Acknowledgments in Multi-Hop Ad-Hoc Networks. Wireless Personal Communications, 56, 791-811.
[12] Curran, K., Woods, D., McDermot, N. and Bradley, C. (2003) The Effects of Badly Behaved Routers on INTERNET congestion. International Journal of Network Management, 13, 83-94.
http://dx.doi.org/10.1002/nem.464
[13] Hac, A. and Ma, Y.J. (1998) A Rate-Based Congestion Control Scheme for ABR Service in ATM Networks. International Journal of Network Management, 8, 292-317.
http://dx.doi.org/10.1002/(SICI)1099-1190(199809/10)8:5<292::AID-NEM286>3.0.CO;2-Y
[14] Li, J., Zhang, S.Y., Li, C.L. and Yan, J.R. (2010) Composite Light Weight Traffic Classification System for Network Management. International Journal of Network Management, 20, 85-105.
[15] Schulze, H. and Mochalski, K. Internet Study2008/2009, IPOQUE Report.
http://www.ipoque.com/resources/internet-studies/internet-study-2008_2009
[16] Zhang, Y., Leonard, D. and Loguinov, D. Jetmax: Scalable Max-Min Congestion Control for High-Speed Heterogeneous Networks. Proceedings of IEEE INFOCOM 2005, 2006, 1-13.

  
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