А cross-layer based approach /ог iтproving тср рег/огтаnсе in Multihop Mobile Adhoc Networks (MANETs)is proposed in this рарег. The proposed congestion triggering тechanisт triggers congestion whenever the channel occupied ratio (COR) reaches а тaxiтuт threshold value and the received signal strength is less than а тiniтuт threshold value. Following it, the congestion control scheтe controls the data sending rate 0/ the sender Ьу deterтining available bandwidth, delay 0/ its link and COR. Further, а /air resource allocation scheтe is put /orwarded. The proposed approach is siтulated in network siтulator-2 (NS-2). Siтulation results illustrate the e/ficiency 0/ оиг technique in terтs 0/ throughput, delivery ratio and delay.

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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.

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.