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New reliability model and its application to assess the performance of sensor networks

机译:新的可靠性模型及其在评估传感器网络性能中的应用

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In this paper we introduce a new network reliability model that can be particularly applied to evaluate performance objectives of wireless sensor networks. In the classical reliability theory a communication network can be modeled as directed graph G - (V, E), composed of a set of nodes V, and a set of directed links E, respectively. Given that the links of the network underlying graph fail independently with known probabilities (nodes are perfectly reliable), and given a set K of terminal nodes (or participating nodes) and a terminal node s of K, the K-terminal-to-sink reliability measure, RKs(G), is the probability of the event that the surviving links span a sub-digraph of G such that for each node u of K there exists a operational directed path from u to s. In this paper we study a combinatorial property of graphs called the domination invariant which has been applied within the context of the classical reliability to efficiently compute the reliability of communication networks. Moreover we model wireless networks as random digraphs using current results in Information Theory and we discuss how the K-terminal-to-sink reliability could be applied to tackle several optimization as well as design problems in sensor networks.
机译:在本文中,我们介绍了一种新的网络可靠性模型,该模型可以特别应用于评估无线传感器网络的性能目标。在经典可靠性理论中,可以将通信网络建模为有向图G-(V,E),分别由一组节点V和一组有向链路E组成。假设网络基础图的链接以已知概率独立失败(节点是完全可靠的),并且给定K个终端节点(或参与节点)和K个终端节点s,则K-终端到汇点可靠性度量RKs(G)是幸存的链接跨越G的子图的事件的概率,这样对于K的每个节点u都存在从u到s的可操作定向路径。在本文中,我们研究了图的组合性质,即称谓不变式,该组合性质已在经典可靠性的范围内应用,以有效地计算通信网络的可靠性。此外,我们使用信息理论中的最新结果将无线网络建模为随机图,并讨论了如何将K端到汇的可靠性应用于解决传感器网络中的一些优化和设计问题。

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