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Maximizing the Probability of Delivery of Multipoint Relay Broadcast Protocol in Wireless Ad Hoc Networks with a Realistic Physical Layer

机译:最大化具有实际物理层的无线自组织网络中多点中继广播协议的交付概率

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摘要

It is now commonly accepted that the unit disk graph used to model the physical layer in wireless networks does not reflect real radio transmissions, and that the lognormal shadowing model better suits to experimental simulations. Previous work on realistic scenarios focused on unicast, while broadcast requirements are fundamentally different and cannot be derived from unicast case. Therefore, broadcast protocols must be adapted in order to still be efficient under realistic assumptions. In this paper, we study the well-known multipoint relay protocol (MPR). In the latter, each node has to choose a set of neighbors to act as relays in order to cover the whole 2-hop neighborhood. We give experimental results showing that the original method provided to select the set of relays does not give good results with the realistic model. We also provide three new heuristics in replacement and their performances which demonstrate that they better suit to the considered model. The first one maximizes the probability of correct reception between the node and the considered relays multiplied by their coverage in the 2-hop neighborhood. The second one replaces the coverage by the average of the probabilities of correct reception between the considered neighbor and the 2-hop neighbors it covers. Finally, the third heuristic keeps the same concept as the second one, but tries to maximize the coverage level of the 2-hop neighborhood: 2-hop neighbors are still being considered as uncovered while their coverage level is not higher than a given coverage threshold, many neighbors may thus be selected to cover the same 2-hop neighbors.
机译:现在,通常公认的是,用于对无线网络中的物理层进行建模的单位磁盘图不能反映实际的无线电传输,并且对数正态阴影模型更适合于实验仿真。先前针对现实场景的工作主要集中于单播,而广播需求从根本上来说是不同的,并且不能从单播情况中得出。因此,必须调整广播协议,以便在现实的假设下仍然有效。在本文中,我们研究了著名的多点中继协议(MPR)。在后者中,每个节点必须选择一组邻居来充当中继,以覆盖整个2跳邻居。我们给出的实验结果表明,提供的用于选择继电器组的原始方法在实际模型中无法获得良好的结果。我们还提供了三种新的替换启发法和它们的性能,它们证明它们更适合所考虑的模型。第一个最大化节点和所考虑的中继之间正确接收的概率乘以2跳邻域中的覆盖范围。第二个覆盖范围用所考虑的邻居和它所覆盖的2跳邻居之间的正确接收概率的平均值代替覆盖范围。最后,第三个启发式算法与第二个启发式算法保持相同的概念,但是尝试使2跳邻居的覆盖范围最大化:当2跳邻居的覆盖范围不高于给定的覆盖范围阈值时,仍被视为2跳邻居因此,可以选择许多邻居来覆盖相同的两跳邻居。

著录项

  • 来源
    《》|2006年|143-154|共12页
  • 会议地点 Hong Kong(CN)
  • 作者单位

    IRCICA/LIFL, University of Lille 1. CNRS UMR 8022, INRIA Future, France;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 计算机网络;
  • 关键词

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