|
Digital Library of the
European Council for Modelling and Simulation |
Title: |
Bio-Inspired Rate Control For
Multi-Priority Data Transmission Over WMSN |
Authors: |
Xin-Wei
Yao, Wan-Liang Wang, Shuang-Hua Yang |
Published in: |
(2013).ECMS 2013 Proceedings edited
by: W. Rekdalsbakken, R. T. Bye, H.
Zhang European Council for Modeling and Simulation. doi:10.7148/2013 ISBN:
978-0-9564944-6-7 27th
European Conference on Modelling and Simulation, Aalesund,
Norway, May 27th – 30th,
2013 |
Citation
format: |
Xin-Wei Yao, Wan-Liang Wang,
Shuang-Hua Yang (2013). Bio-Inspired Rate Control For Multi-Priority Data
Transmission Over WMSN, ECMS 2013 Proceedings edited by: W.
Rekdalsbakken, R. T. Bye, H.
Zhang, European Council for Modeling and Simulation. doi:10.7148/2013-0490 |
DOI: |
http://dx.doi.org/10.7148/2013-0490 |
Abstract: |
The
irrational use of limited network resources in conjunction with the
unpredictable nature of traffic load injection in wireless multimedia sensor
networks (WMSN) may lead to congestion. Traditional transmission schemes were
not designed for supporting prioritized QoS, especially not for guaranteeing
strict QoS required by real-time services such as voice and video. To
overcome these deficiencies, an optimized rate control approach is proposed for
multi-priority data transmission based on the extended Lotka-Volterra
competitive model. The key idea is, when some new traffic flows are
initialized and injected into the WMSN due to unexpected events, a novel
bio-inspired rate control (Bio-RC) approach is designed to consider their effects
on the system stability according to the limited network resources and
competitions with others traffic flows, ensuring that the system will rapidly
converge to a global and stable equilibrium point (EP) and all traffic flows
are of peaceful coexistence and differentiated with QoS and priorities. At
the same time, the network resources can be utilized adequately and
congestion can be brought down or avoided effectively. Extensive simulations
reveal that the proposed approach achieves adaptability and scalability to
dynamic network traffic load, and coexistence with service differentiation for
data flows. |
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