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Distributed adaptive backoff reservation (DABR) for IEEE 802.11 wireless networks

机译:IEEE 802.11无线网络的分布式自适应退避预留(DABR)

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Randomness in backoff selection and bounded window size of IEEE 802.11 DCF standard hinder adaptive and collision-free operation of the standard. Reservation and network load estimation schemes proposed in the literature address such issues. This paper proposes a novel network load estimation technique and generalizes a distributed deterministic backoff reservation scheme for arbitrary number of users in IEEE 802.11 networks. The proposed protocol guarantees fair channel access of stations in a round robin fashion irrespective of the number of users in a single hop environment. Backoff assignment uniqueness is proven mathematically, and analytical performance evaluation coupled with extensive simulations verify significant throughput performance enhancement. Protocol effectiveness toward accurately estimating the number of active stations is also investigated through simulation.
机译:IEEE 802.11 DCF标准的退避选择和有界窗口大小的随机性阻碍了该标准的自适应和无冲突操作。文献中提出的预留和网络负载估计方案解决了这些问题。本文提出了一种新颖的网络负载估计技术,并针对IEEE 802.11网络中的任意数量的用户,归纳了一种分布式确定性退避预留方案。所提出的协议保证以循环方式对站点进行公平的信道访问,而与单跳环境中的用户数量无关。退避分配的唯一性在数学上得到了证明,分析性能评估与广泛的仿真相结合,证明了吞吐量性能的显着提高。还通过仿真研究了协议有效性对准确估计活动台数的影响。

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