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 nodecongestion 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. Keywordscongestion control; wireless sensor network; generalized minimum variance; Ns-2 simulantion; quality of service
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.