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Improving throughput by tuning carrier sensing in 802.11 wireless networks

Improving throughput by tuning carrier sensing in 802.11 wireless networks. Qiang Shen a , Xuming Fang a , Rongshen Huang b , Pan Li b , Yuguang Fang b. a: Provincial Key Lab of Information Coding and Transmission, Southwest Jiaotong University b: Department of ECE, University of Florida.

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Improving throughput by tuning carrier sensing in 802.11 wireless networks

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  1. Improving throughput by tuning carrier sensing in 802.11 wireless networks Qiang Shena, Xuming Fanga, Rongshen Huangb, Pan Lib, Yuguang Fangb a: Provincial Key Lab of Information Coding and Transmission, Southwest Jiaotong University b: Department of ECE, University of Florida Computer Communications 2009

  2. Outline • Introduction • Wireless network models • Solution to the blocking problem • Performance evaluation • Conclusions

  3. Introduction • In 802.11 MAC protocol • Physical carrier sensing threshold • Hidden terminal problem • Exposed terminal problem • Spatial reuse Tuning carrier sensing threshold(range) && Channel rate Improve the network throughput

  4. Wireless network models • A successful reception

  5. Interference model • Chain topology

  6. Wireless network models • A successful reception

  7. How to determine the k k = 3, S0=6.02

  8. Solution to the blocking problem • Optimum sensing range for RTS • Optimum sensing range for CTS • Maximization of the achievable data rate

  9. Optimum sensing range for RTS I X d 1 2 S R 3 4

  10. Optimum sensing range for CTS I X 1 2 S R 3 4

  11. Maximization of the achievable data rate • The relationship between the spatial reuse and the max achievable data rate

  12. Performance evaluation • Simulator: NS2 • Payload : 8000 bits • Chain topology • K = 3 • rc = 6Mbps Out of TR 1 2 3 4

  13. Throughput of node 1-2 and 4-3

  14. Throughput of Node 1-2 and 3-4

  15. End-to-end throughput with different values of k • Chain topology: 7 nodes • Alleviate intra-flow contention • Increasing the RTS sensing range of the source node (IRSR)

  16. End-to-end throughput comparison of different methods

  17. Throughput comparison of IRSR and DAW

  18. Delay comparison of IRSR and DAW

  19. Conclusions • In this paper • Tuning physical carrier sensing • Maximizing channel rate • Improving network throughput • Increasing spatial reuse

  20. Thank You!!

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