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A new backoff strategy using topological persistence in wireless networks.

机译:一种在无线网络中使用拓扑持久性的新退避策略。

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摘要

Contention based IEEE 802.11MAC uses the binary exponential backoff algorithm (BEB) for the contention resolution. The protocol suffers poor performance in the heavily loaded networks and MANETs, high collision rate and packet drops, probabilistic delay guarantees, and unfairness. Many backoff strategies were proposed to improve the performance of IEEE 802.11 but all ignore the network topology and demand. Persistence is defined as the fraction of time a node is allowed to transmit, when this allowance should take into account topology and load, it is topology and load aware persistence (TLA). We develop a relation between contention window size and the TLA-persistence. We implement a new backoff strategy where the TLA-persistence is defined as the lexicographic max-min channel allocation. We use a centralized algorithm to calculate each node's TLApersistence and then convert it into a contention window size. The new backoff strategy is evaluated in simulation, comparing with that of the IEEE 802.11 using BEB. In most of the static scenarios like exposed terminal, flow in the middle, star topology, and heavy loaded multi-hop networks and in MANETs, through the simulation study, we show that the new backoff strategy achieves higher overall average throughput as compared to that of the IEEE 802.11 using BEB.
机译:基于竞争的IEEE 802.11MAC使用二进制指数退避算法(BEB)来解决争用。该协议在高负载的网络和MANET中性能很差,冲突率和丢包率很高,概率延迟保证和不公平。为了提高IEEE 802.11的性能,提出了许多退避策略,但都忽略了网络拓扑和需求。持久性定义为允许节点传输的时间的一部分,当此允许应将拓扑和负载考虑在内时,它是拓扑和负载感知的持久性(TLA)。我们开发了竞争窗口大小和TLA持久性之间的关系。我们实现了一种新的退避策略,其中TLA持久性定义为词典编目最大-最小通道分配。我们使用集中式算法来计算每个节点的TLApersistence,然后将其转换为竞争窗口大小。在仿真中评估了新的退避策略,并与使用BEB的IEEE 802.11进行了比较。在大多数静态情况下,例如裸露的终端,中间流,星形拓扑,重负载多跳网络以及MANET中的流量,通过仿真研究,我们表明,与之相比,新的退避策略可实现更高的总体平均吞吐量使用BEB的IEEE 802.11标准。

著录项

  • 作者单位

    Arizona State University.;

  • 授予单位 Arizona State University.;
  • 学科 Computer Science.
  • 学位 M.S.
  • 年度 2013
  • 页码 76 p.
  • 总页数 76
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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