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Achieving Efficiency Channel Utilization and Weighted Fairness in IEEE 802.11 WLANs with a P-Persistent Enhanced DCF

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Mobile Ad-Hoc and Sensor Networks (MSN 2007)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 4864))

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Abstract

Fair allocation of bandwidth and maximization of channel utilization are two important issues when designing a contention-based wireless medium access control (MAC) protocol. However, fulfilling both design goals at the same time is very difficult. Considering the problem in the IEEE 802.11 wireless local area networks (WLANs), in this work we propose a method using a p-persistent enhanced DCF, called P-IEEE 802.11 DCF, to achieve the weighted fairness among multiple priority classes in a WLAN. The key idea of this method is that when the back-off timer of a node reaches zero, the transmission probability is properly controlled to reflect the relative weights among data traffic flows so as to maximize the aggregate throughput and to minimize the frame delay at the same time. In particular, we obtain the optimal transmission probability based on a theoretical analysis, and also provide an approximation to this probability. The derived optimal and approximation are all evaluated numerically and simulated with different scenarios. The results show that the proposed method can fulfill our design goals under different numbers of priority classes and different numbers of hosts.

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References

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Hongke Zhang Stephan Olariu Jiannong Cao David B. Johnson

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© 2007 Springer-Verlag Berlin Heidelberg

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Liu, JS., Lin, CH.R. (2007). Achieving Efficiency Channel Utilization and Weighted Fairness in IEEE 802.11 WLANs with a P-Persistent Enhanced DCF. In: Zhang, H., Olariu, S., Cao, J., Johnson, D.B. (eds) Mobile Ad-Hoc and Sensor Networks. MSN 2007. Lecture Notes in Computer Science, vol 4864. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77024-4_18

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  • DOI: https://doi.org/10.1007/978-3-540-77024-4_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77023-7

  • Online ISBN: 978-3-540-77024-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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