Implementation of Hybrid Modified RED Algorithm for Congestion Avoidance in MANETS
R Akshatha · International Journal for Research in Applied Science and Engineering Technology · 2018
Congestion detection and congestion avoidance is major issue in Mobile Ad-hoc Network(MANET). To avoid congestion various Active Queue Management(AQM) algorithms proposed. Among them Random Early Detection (RED) is the AQM algorithm where congestion avoidance can be achieved. A traditional RED algorithm suffers from high packet loss and lower throughput. Modified RED (MDRED) is an algorithm where dynamic threshold adjustment policy is used. In order to reduce the number of packet drops, Modified Gaussian Function-RED(MGF-RED) uses the Modified Gaussian function drop probability. A simple modification to RED algorithm called Hybrid Modified RED (HMDRED) proposed in the account of auto tuning the RED threshold parameters and packet dropping probability there by achieving lower packet loss and higher throughput. Proposed method also uses Modified Gaussian function (MGF) drop probability so that packets drop can be reduced. The HMDRED is simulated using network simulator and its performance is compared with existing RED algorithms. The results analysis shows that the HMDRED performs better than the other algorithms with respect to throughput, packet drop and packet delivery ratio