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Evaluation of the one-to-all-target-subsets reliability of a novel deterioration-effect acyclic multi-state information network

机译:新型变质效应非循环多状态信息网络对全部目标子集的可靠性评估

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摘要

It is assumed that information in a traditional multi-state information network (MIN) can be sent anywhere. However, in practical applications, the intensity of information (the capacity of information to be transmitted) is gradually reduced because of the deterioration effect. For example, a Wi-Fi signal decreases if the transmission distance is too great. Hence, a novel MIN model called the deterioration-effect acyclic MIN (AMIN(de)) is proposed to meet real-world problems in which the intensity of information decreases by a given amount and transmits to a limited number of nodes. In addition, to counteractsome of the deterioration effect, a novel boost node is introduced toincreaseinformation temporarily. A very straightforward and easily programmed algorithm derived from the universal generating function method (UGFM) is used to evaluate the AMINde reliability, which is defined as the probability that information can be received by the target node through the AMINde. The computational complexity of the proposed algorithm is also analyzed. Finally, an example is provided to illustrate how the reliability of the AMINde is calculated using the proposed algorithm.
机译:假定传统的多状态信息网络(MIN)中的信息可以发送到任何地方。然而,在实际应用中,由于劣化效果,信息的强度(要发送的信息的容量)逐渐降低。例如,如果传输距离太大,Wi-Fi信号会减少。因此,提出了一种新颖的MIN模型,称为恶化效应非循环MIN(AMIN(de)),以解决现实世界中的问题,在该问题中,信息强度降低了给定量,并传输到有限数量的节点。另外,为了抵消恶化效果,引入了新型的升压节点以暂时增加信息。从通用生成函数方法(UGFM)派生的非常简单易编程的算法用于评估AMINde可靠性,AMINde可靠性定义为目标节点可以通过AMINde接收信息的概率。还分析了所提出算法的计算复杂度。最后,提供一个示例来说明如何使用所提出的算法来计算AMINde的可靠性。

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