| 한글제목(Korean Title) |
An Adaptive Proportional Integral Active Queue Management Algorithm based on Self-Similar Traffic Rate Estimation in WSN |
| 영문제목(English Title) |
An Adaptive Proportional Integral Active Queue Management Algorithm based on Self-Similar Traffic Rate Estimation in WSN |
| 저자(Author) |
Heng Liu and Yan Wang
|
| 원문수록처(Citation) |
VOL 05 NO. 11 PP. 1946 ~ 1958 (2011. 11) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Wireless Sensor Network (WSN) is made up of a number of sensor nodes and base stations. Traffic flow in WSN appears self-similar due to its data delivery process, and this impacts queue length greatly and makes queuing delay worse. Active queue management can be designed to improve QoS performance for WSN. In this paper, we propose self-similar traffic rate estimating algorithm named Power-Law Moving Averaging (PLMA) to regulate packet marking probability. This algorithm improves the availability of the rate estimation algorithm under the self-similar traffic condition. Then, we propose an adaptive Proportional Integral algorithm (SSPI) based on the estimation of the Self-Similar traffic rate by PLMA. Simulation results show that SSPI can achieve lower queue length jitter and smaller setting time than PI. |
| 키워드(Keyword) |
Self-similar
QoS
traffic rate estimation
active queue management
WSN
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| 파일첨부 |
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