English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

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

Implementation of Hybrid Modified RED Algorithm for Congestion Avoidance in MANETS