Abstract
In the multiple-event WSNs, each event has different importance and most of the congestions are caused by the burst events with high importance. Therefore, the priority-based congestion control algorithm is required to WSNs. Most of the existing algorithms to control the congestions of the WSNs do not consider the priorities of the events. In addition, the existing algorithms rely on the rate control of source nodes using the backpressure mechanism but it is not efficient for the dynamic applications (ex. Tracking application). Therefore, we proposed a new algorithm that uses the queue state management and duty-cycle adjustment. This new algorithm tries to prevent the congestion previously and adjusts the duty-cycle to guarantee the reliability of the important events. The simulation results show that the proposed algorithm performs better than the existing algorithm in both of the static case and dynamic case.
| Original language | English |
|---|---|
| Pages (from-to) | 181-190 |
| Number of pages | 10 |
| Journal | Advances in Intelligent and Soft Computing |
| Volume | 145 AISC |
| Issue number | VOL. 2 |
| DOIs | |
| Publication status | Published - 2012 Jul 2 |
| Event | 2011 2nd International Congress on Computer Applications and Computational Science, CACS 2011 - Bali, Indonesia Duration: 2011 Nov 15 → 2011 Nov 17 |
All Science Journal Classification (ASJC) codes
- Computer Science(all)
Cite this
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A state oriented buffer control mechanism for the priority-based congestion control algorithm in WSNs. / On, Jeongseok; Sung, Yoonpil; Lee, Jaiyong.
In: Advances in Intelligent and Soft Computing, Vol. 145 AISC, No. VOL. 2, 02.07.2012, p. 181-190.Research output: Contribution to journal › Conference article
TY - JOUR
T1 - A state oriented buffer control mechanism for the priority-based congestion control algorithm in WSNs
AU - On, Jeongseok
AU - Sung, Yoonpil
AU - Lee, Jaiyong
PY - 2012/7/2
Y1 - 2012/7/2
N2 - In the multiple-event WSNs, each event has different importance and most of the congestions are caused by the burst events with high importance. Therefore, the priority-based congestion control algorithm is required to WSNs. Most of the existing algorithms to control the congestions of the WSNs do not consider the priorities of the events. In addition, the existing algorithms rely on the rate control of source nodes using the backpressure mechanism but it is not efficient for the dynamic applications (ex. Tracking application). Therefore, we proposed a new algorithm that uses the queue state management and duty-cycle adjustment. This new algorithm tries to prevent the congestion previously and adjusts the duty-cycle to guarantee the reliability of the important events. The simulation results show that the proposed algorithm performs better than the existing algorithm in both of the static case and dynamic case.
AB - In the multiple-event WSNs, each event has different importance and most of the congestions are caused by the burst events with high importance. Therefore, the priority-based congestion control algorithm is required to WSNs. Most of the existing algorithms to control the congestions of the WSNs do not consider the priorities of the events. In addition, the existing algorithms rely on the rate control of source nodes using the backpressure mechanism but it is not efficient for the dynamic applications (ex. Tracking application). Therefore, we proposed a new algorithm that uses the queue state management and duty-cycle adjustment. This new algorithm tries to prevent the congestion previously and adjusts the duty-cycle to guarantee the reliability of the important events. The simulation results show that the proposed algorithm performs better than the existing algorithm in both of the static case and dynamic case.
UR - http://www.scopus.com/inward/record.url?scp=84862860643&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84862860643&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-28308-6_25
DO - 10.1007/978-3-642-28308-6_25
M3 - Conference article
AN - SCOPUS:84862860643
VL - 145 AISC
SP - 181
EP - 190
JO - Advances in Intelligent Systems and Computing
JF - Advances in Intelligent Systems and Computing
SN - 2194-5357
IS - VOL. 2
ER -