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Stability analysis of wireless network with improved fluid model

Stability analysis of wireless network with improved fluid model
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摘要 Wireless communication is easily disturbed by unfortunate factors which drive the wireless environment unstable and complicated. Therefore, it is essential to consider these factors in stability analysis of the wireless network. However, wireless channel characteristics and packets collisions are neglected in the classical fluid model. A wireless TCP fluid model (WTFM) for stability analysis of wireless network is proposed based on cross layers, which not only makes the congestion control based on random early detection (RED) available for wireless network, but also provides a more accurate model to analyze the stability of wireless system theoretically. In the proposed model, active queue management, abnormality of wireless channels and packets collisions are taken into consideration. The comparisons between evaluating results from the WTFM and the practical performance from NS2 simulations validate the accuracy of the proposed WTFM in the perspectives of delay, dropping probability, throughput, sliding window size and queue length. A set of comparisons among the proposed WTFM, the classical fluid model and the convex optimization model are conducted. The results demonstrate that the proposed WTFM model performs better than other schemes in comprehensive aspects on capturing the characteristic of the wireless network and computing complexity. Wireless communication is easily disturbed by unfortunate factors which drive the wireless environment unstable and complicated. Therefore, it is essential to consider these factors in stability analysis of the wireless network. However, wireless channel characteristics and packets collisions are neglected in the classical fluid model. A wireless TCP fluid model (WTFM) for stability analysis of wireless network is proposed based on cross layers, which not only makes the congestion control based on random early detection (RED) available for wireless network, but also provides a more accurate model to analyze the stability of wireless system theoretically. In the proposed model, active queue management, abnormality of wireless channels and packets collisions are taken into consideration. The comparisons between evaluating results from the WTFM and the practical performance from NS2 simulations validate the accuracy of the proposed WTFM in the perspectives of delay, dropping probability, throughput, sliding window size and queue length. A set of comparisons among the proposed WTFM, the classical fluid model and the convex optimization model are conducted. The results demonstrate that the proposed WTFM model performs better than other schemes in comprehensive aspects on capturing the characteristic of the wireless network and computing complexity.
出处 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2015年第6期1149-1158,共10页 系统工程与电子技术(英文版)
基金 supported by the National Natural Science Foundation of China(61106022) the Beijing Natural Science Foundation(4143066)
关键词 stability analysis improved fluid model cross layers collision wireless channel characteristic. stability analysis, improved fluid model, cross layers,collision, wireless channel characteristic.
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  • 1N. Tran, C. Hong, S. Lee. Cross-layer design of congestion control and power control in fast-fading wireless network. IEEE Trans. on Parallel and Distributed System, 2013, 24(2): 260-274.
  • 2J. Qiu, T. Huang. Packet scheduling scheme in the next generation high-speed wireless packet network. Proc. of the IEEE International Conference on Wireless and Mobile Computing, Networking And Communications, 2005: 224-227.
  • 3R. Adams. Active queue management: a survey. IEEE Communication Survey & Tutorials, 2013, 15(3): 1425 -1476.
  • 4G. Sharma, C. Joo, N. Shroff, et al. Joint congestion control and distributed scheduling for throughput guarantees in wireless network. ACM Trans. on Modeling and Computer Simulation, 2010, 21(1): 1-25.
  • 5L. Bui, A. Eryilmaz, R. Srikant, et al. Joint asynchronous congestion control and distributed scheduling for multi-hop wire-less network. Proc. of the 25th IEEE International Conference on Computer Communications, 2006: 1-12.
  • 6Y. Yi, S. Shakkottai. Hop-by-hop congestion control over a wireless multi-hop network. Proc. of the 23rd IEEE International Conference on Computer Communications, 2004: 2548-2558.
  • 7H. Lee, J. Lim. Fair congestion control over wireless multihop Network. lET Communication, 2012, 6(11): 1475 -1482.
  • 8X. Lin, N. Shroff. Joint rate control and scheduling in multihop wireless network. Proc. of the IEEE Conference on Design and Control, 2004.
  • 9J. Wen, M. Arcak. A unifying passivity framework for network flow control. IEEE Trans. on Automatic Control, 2004, 49(2): 162-174.
  • 10L. Cong, G. Lu, Y. Chen, et al. Queueing-based TCP congestion estimator. lET Communication, 2010, 16(4): 1974- 1986.

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