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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jinsheng Sun Jinhua Chen Zhiquan Wang |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Autom., Nanjing Univ. of Sci. & Technol. (Jinsheng Sun; Jinhua Chen; Zhiquan Wang) |
| Abstract | Active queue management (AQM) can maintain smaller queuing delay and higher throughput by purposefully dropping the packets at intermediate nodes. In this paper, a novel AQM algorithm, called adaptive neuron PID, is proposed, and the detailed statement of this algorithm is given. Simulation results show that the new algorithm is stable and robust for small time-delay network, and the response speed and the performance are obviously better than that of some existing algorithms such as ARED, PI and REM. At the same time, for the networks with large time-delay, this algorithm is also stable |
| Starting Page | 6308 |
| Ending Page | 6312 |
| File Size | 214708 |
| Page Count | 5 |
| File Format | |
| ISBN | 1424403324 |
| DOI | 10.1109/WCICA.2006.1714297 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-06-21 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Neurons Three-term control Technology management Automation Web and internet services Quality of service Sun Delay Throughput Robustness PID congestion control AQM neuron |
| Content Type | Text |
| Resource Type | Article |
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