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

Authors: Dodda Sunitha; A. Nagaraju; G. Narsimha

Addresses: Department of Computer Science and Engineering, Kamala Institute of Technology and Science, Karimnagar, India ' Department of Computer Science and Engineering, Central University of Rajastan, Ajmer, India ' Department of Computer Science and Engineering, Jawaharlal Nehru Technological University, Nachupally, Karimnagar, India

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.

DOI: 10.1504/IJSISE.2017.084570

International Journal of Signal and Imaging Systems Engineering, 2017 Vol.10 No.1/2, pp.47 - 53

Received: 06 Nov 2016
Accepted: 24 Jan 2017
Published online: 14 Jun 2017 *

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