ENHANCING NETWORK PERFORMANCE WITH IMPROVED RANDOM EARLY DETECTION
Congestion has become an important issue affecting the performance of network systems. Active Queue Management (AQM) algorithms are crucial in ensuring network stability. The first active queue management technique deployed to control congestion was Random Early Detection (RED). RED compares th...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Trường Đại học Vinh
2025-03-01
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| Series: | Tạp chí Khoa học |
| Subjects: | |
| Online Access: | https://vujs.vn//api/view.aspx?cid=06b31696-9aca-4d79-8346-434cb2ca2ed8 |
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| Summary: | Congestion has become an important issue affecting the
performance of network systems. Active Queue Management
(AQM) algorithms are crucial in ensuring network stability.
The first active queue management technique deployed to
control congestion was Random Early Detection (RED). RED
compares the average queue length with predefined thresholds
to mark or discard packets. DyRED [1] has improved RED
based on changing the upper threshold. The author proposes an
enhanced DyRED algorithm called ImRED (Improved
DyRED) to enhance network performance further. Through
simulation evaluation on the NS2, the author observed that
ImRED outperforms DyRED regarding packet loss rate and
average queue delay. |
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| ISSN: | 1859-2228 |