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A Neural Network Model for Evaluating Mobile Ad Hoc Wireless Network Survivability

机译:一种评估移动自组织无线网络生存能力的神经网络模型

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Due to the self-organized, unstable features of MANET, how to ensure the survivability of it becomes more and more important. This paper proposes a survivability evaluation model for MANETs. A Monte Carlo simulation algorithm and an Artificial Neural network computing model are also proposed to calculate the survivability of MANET based on the survivability evaluation model. Computational results show that the ANN model is an effective approach to evaluate the survivability compare with MC method.
机译:由于MANET的自组织,不稳定特性,如何确保其生存能力变得越来越重要。本文提出了MANET的生存能力评估模型。提出了基于生存能力评估模型的蒙特卡罗仿真算法和人工神经网络计算模型来计算移动自组网的生存能力。计算结果表明,与MC方法相比,人工神经网络模型是一种评估生存能力的有效方法。

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