Abstract
In recent years, Multi hop wireless networks have caught wide attention in the areas of high speed traffic and applications with high bandwidth requirement such as video and audio transmissions. Congestion is one of the major factors which degrade the system performance while we are working with high speed multi hop networks. Congestion control plays a vital role to improve the bandwidth utilization and system performance. In this project, an accurate measurement of the Available Bandwidth in a network is calculated and an enhanced congestion control mechanism for such paths in wireless mesh networks is proposed. The performance evaluation of the proposed model is simulated in NS-2 simulator and the results were compared with existing model.
Highlights
Wired networks are infrastructure networks wherein there will be a centralized system monitoring
People prefer using wireless networks due to its advantages like portability, ease of deployment and its high usage comes into act when there is a need to set up a network for a temporary purpose wherein the need for a base station will not be needed
Wireless networks implies to a technology wherein communication between two or more computers is enabled without the usage of any cables
Summary
Wired networks are infrastructure networks wherein there will be a centralized system monitoring. Though TCP is known for its reliability and error-handling techniques in wired networks, its usage in wireless networks is not up to par. Congestion occurs mainly due to the over-loading of the network because of not knowing the network stage at that particular moment of time. Though there are certain active queue management techniques like RED, Fast Retransmit and Recovery for handling congestion, which is the marking up of packets instead of dropping them, ECN had evolved, due to the delay constraints imposed by these techniques making them not so suitable when it comes to their usage in larger scaled networks. The proposed model provides solutions to the above mentioned problems so that it will result in reduced effect of congestion in a network thereby increasing the performance of a network with regards to the performance metrics such as end-to-end delay, throughput, enhanced packet delivery ratio etc. The simulation results will be compared with the existing model proving the proposed model to be efficient
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