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CLC number: TP393

On-line Access: 2009-11-30

Received: 2009-04-13

Revision Accepted: 2009-08-10

Crosschecked: 2009-09-29

Cited: 33

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Citations:  Bibtex RefMan EndNote GB/T7714

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Journal of Zhejiang University SCIENCE C 2010 Vol.11 No.1 P.63-73

http://doi.org/10.1631/jzus.C0910204


Congestion avoidance, detection and alleviation in wireless sensor networks


Author(s):  Wei-wei FANG, Ji-ming CHEN, Lei SHU, Tian-shu CHU, De-pei QIAN

Affiliation(s):  Sino-German Joint Software Institute, School of Computer Science, Beihang University, Beijing 100191, China; more

Corresponding email(s):   fangvv@gmail.com

Key Words:  Wireless sensor network (WSN), Congestion control, Correlation, Traffic multiplexing, Rate regulation


Wei-wei FANG, Ji-ming CHEN, Lei SHU, Tian-shu CHU, De-pei QIAN. Congestion avoidance, detection and alleviation in wireless sensor networks[J]. Journal of Zhejiang University Science C, 2010, 11(1): 63-73.

@article{title="Congestion avoidance, detection and alleviation in wireless sensor networks",
author="Wei-wei FANG, Ji-ming CHEN, Lei SHU, Tian-shu CHU, De-pei QIAN",
journal="Journal of Zhejiang University Science C",
volume="11",
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pages="63-73",
year="2010",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.C0910204"
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%T Congestion avoidance, detection and alleviation in wireless sensor networks
%A Wei-wei FANG
%A Ji-ming CHEN
%A Lei SHU
%A Tian-shu CHU
%A De-pei QIAN
%J Journal of Zhejiang University SCIENCE C
%V 11
%N 1
%P 63-73
%@ 1869-1951
%D 2010
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C0910204

TY - JOUR
T1 - Congestion avoidance, detection and alleviation in wireless sensor networks
A1 - Wei-wei FANG
A1 - Ji-ming CHEN
A1 - Lei SHU
A1 - Tian-shu CHU
A1 - De-pei QIAN
J0 - Journal of Zhejiang University Science C
VL - 11
IS - 1
SP - 63
EP - 73
%@ 1869-1951
Y1 - 2010
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.C0910204


Abstract: 
Congestion in wireless sensor networks (WSNs) not only causes severe information loss but also leads to excessive energy consumption. To address this problem, a novel scheme for congestion avoidance, detection and alleviation (CADA) in WSNs is proposed in this paper. By exploiting data characteristics, a small number of representative nodes are chosen from those in the event area as data sources, so that the source traffic can be suppressed proactively to avoid potential congestion. Once congestion occurs inevitably due to traffic mergence, it will be detected in a timely way by the hotspot node based on a combination of buffer occupancy and channel utilization. Congestion is then alleviated reactively by either dynamic traffic multiplexing or source rate regulation in accordance with the specific hotspot scenarios. Extensive simulation results under typical congestion scenarios are presented to illuminate the distinguished performance of the proposed scheme.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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