Congestion Control for Wireless Sensor Network based on Generalized Minimum Variance Controller
- DOI
- 10.2991/meic-15.2015.126How to use a DOI?
- Keywords
- congestion control; wireless sensor network; generalized minimum variance; Ns-2 simulantion; quality of service
- Abstract
In order to improve the quality of service and the energy efficiency, congestion control has exposed as an essential factor in the wireless sensor network. Congestion control for wireless sensor network based on generalized minimum variance controller is proposed in the paper, for which node-congestion and link-congestion are considered simultaneously. The discrete transfer functionfor the node-congestion and the link-congestion , as the wireless sensor network model, is presented based on the fluid-flow theory, small signal linearization and the bilinear Z-transform. Due to the time-variable network parameter and topology, generalized minimum variance controller is introduced to the congestion control in wireless sensro network, of which the necessary and sufficient condition for the stability is also provided. The congestion control algorithm based on generalized minimum variance controller can reduce queue time and alleviate congestion. Ns-2 simulation results indicate that the proposed algorithm restrains the congestion in variable network condition and maintains a high throughput together with a low packet drop ratio for the whole network.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xinhao Yang AU - Ze Li AU - Juncheng Jia AU - Shukui Zhang PY - 2015/04 DA - 2015/04 TI - Congestion Control for Wireless Sensor Network based on Generalized Minimum Variance Controller BT - Proceedings of the 2015 International Conference on Mechatronics, Electronic, Industrial and Control Engineering PB - Atlantis Press SP - 551 EP - 554 SN - 2352-5401 UR - https://doi.org/10.2991/meic-15.2015.126 DO - 10.2991/meic-15.2015.126 ID - Yang2015/04 ER -