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Network Survivability Performance Evaluation in Underwater Surveillance System Using Markov Model

机译:基于马尔可夫模型的水下监控系统网络生存性评估

摘要

Underwater Wireless Sensor Network (UWSN) is a useful technology that can be used in Underwater Surveillance System (USS). USSs are mostly used in military purposes for detecting underwater military activities. One of the most important issues in USS is mission reliability or survivability. Due to harsh underwater environment and mission critical nature of military applications, it is important to measure survivability of USS. Underwater sensor node failures can be detrimental for USS. To improve survivability in USS, we propose a fault-tolerant underwater sensor node model. To the best of our knowledge, this is the first fault-tolerant underwater sensor node model in USS that evaluates survivability of an USS.  We develop Markov models for characterizing USS survivability and MTTF (Mean Time to Failure) to facilitate USS. Performance evaluation results show the effectiveness of proposed model.
机译:水下无线传感器网络(UWSN)是一种有用的技术,可用于水下监视系统(USS)。 USS主要用于军事目的,以检测水下军事活动。 USS中最重要的问题之一是任务的可靠性或生存能力。由于恶劣的水下环境和军事应用的关键任务性质,因此测量USS的生存能力非常重要。水下传感器节点故障可能对USS有害。为了提高USS的生存能力,我们提出了一种容错水下传感器节点模型。据我们所知,这是USS中第一个评估USS生存能力的容错水下传感器节点模型。我们开发了用于描述USS生存能力和MTTF(平均失效时间)以促进USS表征的马尔可夫模型。性能评估结果表明了该模型的有效性。

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