Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Dynamic TCP-Vegas based on cuckoo search for efficient congestion control for MANET

Dynamic TCP-Vegas based on cuckoo search for efficient congestion control for MANET In the internet congestion control, transmission control protocol (TCP)-Vegas is a source algorithm that provides better performance. However, it has two main issues: first one is rerouting and unable to identify updation of round-trip time (RTT) when changes occurred in the network, these two problems leads to affects the performance of Vegas. These drawbacks persist mostly in the Vegas estimation process of the propagation delay, i.e. BaseRTT. In this paper, we proposed a novel algorithm that uses the cuckoo search optimisation algorithm for selecting the optimal value of BaseRTT. Also, our proposed algorithm has dynamically considered slow start algorithm based on the estimation in real time, the available bandwidth and adjust decrease/ increase rate in congestion avoidance phase for a particular network environment. Simulation results have shown that our proposed algorithm can effectively avoid packet losses and attain the maximum throughput when compared with existing algorithms. Keywords: congestion control; cuckoo search optimisation; packet loss; rerouting; slow start; TCP-Vegas; throughput. Reference to this paper should be made as follows: Sunitha, D., Nagaraju, A. and Narsimha, G. (2017) `Dynamic TCP-Vegas based on cuckoo search for efficient congestion control for MANET', Int. J. Signal and Imaging Systems Engineering, Vol. 10, Nos. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Signal and Imaging Systems Engineering Inderscience Publishers

Dynamic TCP-Vegas based on cuckoo search for efficient congestion control for MANET

Download PDF
7 pages

Loading next page...
 
/lp/inderscience-publishers/dynamic-tcp-vegas-based-on-cuckoo-search-for-efficient-congestion-cj2QL2KIqL

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
Inderscience Publishers
Copyright
Copyright © 2017 Inderscience Enterprises Ltd.
ISSN
1748-0698
eISSN
1748-0701
DOI
10.1504/IJSISE.2017.084570
Publisher site
See Article on Publisher Site

Abstract

In the internet congestion control, transmission control protocol (TCP)-Vegas is a source algorithm that provides better performance. However, it has two main issues: first one is rerouting and unable to identify updation of round-trip time (RTT) when changes occurred in the network, these two problems leads to affects the performance of Vegas. These drawbacks persist mostly in the Vegas estimation process of the propagation delay, i.e. BaseRTT. In this paper, we proposed a novel algorithm that uses the cuckoo search optimisation algorithm for selecting the optimal value of BaseRTT. Also, our proposed algorithm has dynamically considered slow start algorithm based on the estimation in real time, the available bandwidth and adjust decrease/ increase rate in congestion avoidance phase for a particular network environment. Simulation results have shown that our proposed algorithm can effectively avoid packet losses and attain the maximum throughput when compared with existing algorithms. Keywords: congestion control; cuckoo search optimisation; packet loss; rerouting; slow start; TCP-Vegas; throughput. Reference to this paper should be made as follows: Sunitha, D., Nagaraju, A. and Narsimha, G. (2017) `Dynamic TCP-Vegas based on cuckoo search for efficient congestion control for MANET', Int. J. Signal and Imaging Systems Engineering, Vol. 10, Nos.

Journal

International Journal of Signal and Imaging Systems Engineering – Inderscience Publishers

Published: Jan 1, 2017

There are no references for this article.