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On Augmented OBDD and Performability for Sensor Networks

机译:传感器网络的增强OBDD和性能

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The expected hop count (EHC) or performability of a wireless sensor network (WSN) with probabilistic node failures provides the expected number of operational nodes a message traverses from a set of sensors to reach its target station. This paper proposes a novel approach for computing the EHC of a practical communication model for WSN, k-of-all-sources to any-terminal (k-of-S,t). Techniques based on factoring and Boolean techniques solve the EHC when k=1 for |S| ≥1 However, they fail to scale with large WSN and are not useful for computing the EHC with k>1. To overcome these problems, we propose an Augmented Ordered Binary Decision Diagram (OBDD-A) approach, which obtains the EHC for all cases of (k-of-S, t). We use randomly generated wireless networks and grid networks having up to 4.6×10~(20) (s,t)-minpaths to generate results. Results show that OBDD-A can obtain the EHC for networks that are unsolvable with existing approaches.
机译:带有概率节点故障的预期跃点计数(EHC)或无线传感器网络(WSN)的性能为消息从一组传感器遍历以到达其目标站的预期操作节点数提供了信息。本文提出了一种新颖的方法来计算WSN的实用通信模型的EHC,即所有来源的k个源到任意终端(k-of-S,t)。当| S |的k = 1时,基于分解和布尔技术的技术可解决EHC。 ≥1但是,它们无法随着大的WSN进行缩放,并且对于计算k> 1的EHC无效。为了克服这些问题,我们提出了一种增强有序二元决策图(OBDD-A)方法,该方法可获取所有(k-of-S,t)情况的EHC。我们使用随机生成的无线网络和网格网络,这些网络的网格路径最多可达4.6×10〜(20)(s,t)-minpath。结果表明,OBDD-A可以获得针对现有方法无法解决的网络的EHC。

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