A survey on Enhance performance of TCP congestion control using modified RED over wireless network

Networking

Mobile ad-hoc network is dynamic nature because each node moves freely in the network. In MANET we can’t predict node motion and load of each node, so number of nodes are ideal and number of node are vary loaded that leads the problem of congestion in the network, here we design a survey paper related various congestion control over the MANET that work provide the congestion control as well as congestion avoidance techniques from network. In this survey we identify load aware technique that provide more reliable as well as load aware of each node so minimize the data drop but all given approach are use routing base congestion control, through this survey we identify that congestion control through dynamic queue management technique, The queue management algorithm, which is applied to a router, plays an important role in providing Quality of Service (QoS). In this paper, we have presented a simulation based comparison and evaluation of four popular queue management schemes: Stochastic Fair Queuing (SFQ), Random Early Detection (RED), Random Exponential Marking (REM) and Droptail in terms of packet drop rate and delay. Simulation is done using Network Simulator (ns2.34) Our Simulation results indicate that REM performed better in terms of packet drop rate and RED performs better in terms of end-to-end delay. In further we design proposed work provide why and how AQM algorithm will be affected by the presence of input queue in router in addition to the output queue.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.