Abstract
Congestion control mechanisms are essential to stabilize the network system and provision quality of service. In this paper, we propose a robust congestion control scheme for time-delay and dynamic networks. First, a Smith predictor is used to compensate for time delay in the data transmission. Second, an active queue management controller is derived using internal model control theory for strong robustness. Third, we design a fuzzy-logic tuning rule to adapt the filter coefficient of the queue length controller to the time-varying network dynamics. We evaluate the performance of our proposed algorithm in the Network Simulator (NS2). The results demonstrate that our proposed algorithm is robust against time delay and dynamic traffics.
Original language | English |
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Title of host publication | Proceedings of 2015 IEEE 16th International Conference on Communication Technology (ICCT) |
Editors | Mengqi Zhou, Zhiqun Cheng |
Place of Publication | Piscataway NJ USA |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 773-778 |
Number of pages | 6 |
ISBN (Electronic) | 9781467370042, 9781467370059, 9781467370035 |
ISBN (Print) | 9781467370042 |
DOIs | |
Publication status | Published - 2016 |
Externally published | Yes |
Event | IEEE International Conference on Communication Technology 2015 - Hangzhou, China Duration: 18 Oct 2015 → 21 Oct 2015 Conference number: 16th https://www.aconf.org/conf_61914.html |
Conference
Conference | IEEE International Conference on Communication Technology 2015 |
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Abbreviated title | ICCT 2015 |
Country/Territory | China |
City | Hangzhou |
Period | 18/10/15 → 21/10/15 |
Internet address |
Keywords
- Active queue management
- Congestion control
- Fuzzy logic
- internal model control
- Robustness
- Self-Tuning
- Smith predictor
- Time delay