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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:最大化多点中继广播的传递概率   具有真实物理层的无线ad Hoc网络中的协议

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摘要

It is now commonly accepted that the unit disk graph used to model thephysical layer in wireless networks does not reflect real radio transmissions,and that the lognormal shadowing model better suits to experimentalsimulations. Previous work on realistic scenarios focused on unicast, whilebroadcast requirements are fundamentally different and cannot be derived fromunicast case. Therefore, broadcast protocols must be adapted in order to stillbe efficient under realistic assumptions. In this paper, we study thewell-known multipoint relay protocol (MPR). In the latter, each node has tochoose a set of neighbors to act as relays in order to cover the whole 2-hopneighborhood. We give experimental results showing that the original methodprovided to select the set of relays does not give good results with therealistic model. We also provide three new heuristics in replacement and theirperformances which demonstrate that they better suit to the considered model.The first one maximizes the probability of correct reception between the nodeand the considered relays multiplied by their coverage in the 2-hopneighborhood. The second one replaces the coverage by the average of theprobabilities of correct reception between the considered neighbor and the2-hop neighbors it covers. Finally, the third heuristic keeps the same conceptas the second one, but tries to maximize the coverage level of the 2-hopneighborhood: 2-hop neighbors are still being considered as uncovered whiletheir coverage level is not higher than a given coverage threshold, manyneighbors may thus be selected to cover the same 2-hop neighbors.
机译:现在已经普遍接受的是,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真实的无线电传输,并且对数正态阴影模型更适合于实验仿真。以前关于实际场景的工作侧重于单播,而广播需求从根本上是不同的,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,我们研究了众所周知的多点中继协议(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现实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式算法和它们的性能,证明它们更适合所考虑的模型。第一个启发式方法最大程度地提高了节点和所考虑的中继之间正确接收的概率,并乘以它们在2邻域中的覆盖率。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,第三种启发式方法保持与第二种相同的概念,但是尝试使两跳邻居的覆盖范围最大化:仍将两跳邻居视为未覆盖,而其覆盖程度不高于给定的覆盖范围阈值,许多邻居可能因此被选择为覆盖相同的两跳邻居。

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