Performance Evaluation of AODV Using Fuzzy Logic to Reduce Congestion in MANET
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초록
Mobile ad-hoc network is an infrastructure less network as it doesn’t follow any particular network topology. In MANET congestion is a major problem in small size networks congestion’s effect is low as compared to the large size networks. Congestion degrades the performance of overall network drastically. Many algorithms have been proposed to handle the congestion famous one are the active que management algorithms (AQMs). But still there is no universally accepted solution for it. In this paper a congestion control solution is devised using fuzzy logic controller. In this node density and load are taken as input and packet drop probability as output, which is effective to control congestion in large networks.
Abstract
Mobile ad-hoc network is an infrastructure less network as it doesn’t follow any particular network topology. In MANET congestion is a major problem in small size networks congestion’s effect is low as compared to the large size networks. Congestion degrades the performance of overall network drastically. Many algorithms have been proposed to handle the congestion famous one are the active que management algorithms (AQMs). But still there is no universally accepted solution for it. In this paper a congestion control solution is devised using fuzzy logic controller. In this node density and load are taken as input and packet drop probability as output, which is effective to control congestion in large networks.
참고문헌 (12)
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