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A fault-tolerant acoustic sensor network for monitoring underwater pipelines

机译:用于监控水下管道的容错声学传感器网络

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Underwater Acoustic Sensor Networks (UASNs) can be used to monitor long underwater pipeline structures for oil, gas, and water. In this case, a special type of UASNs, UASN-P (UASN for long pipelines) is used. One of the main challenges of using UASN-P is the reliability of the connections among the nodes. Faults in a few contiguous nodes may cause the creation of holes which will result in dividing the network into multiple disconnected segments. As a result, sensor nodes that are located between holes may not be able to deliver their sensed information which negativity affects the network sensing coverage. This paper provides an analysis of the different types of faults in UASN-P and studies their negative impact on the sensing coverage. We utilize Autonomous Underwater Vehicles (AUVs) and develop two models to overcome these faults and enhance coverage. The first model utilizes AUVs to function as mobile sensor nodes to cover the network holes while the second model uses the AUVs to deliver and deploy fixed sensor nodes in the network holes to replace faulty nodes. In both models, placed nodes can provide additional sensing coverage as well as enable connectivity among disconnected segments in the UASN-P. A strategy for best allocation using a limited number of sensors or sensing vehicles is developed. In addition, evaluations and comparison between both models are provided.
机译:水下声学传感器网络(UASNS)可用于监测石油,气体和水的长水下管道结构。在这种情况下,使用特殊类型的UASN,UASN-P(USN用于长管道)。使用UASN-P的主要挑战之一是节点之间连接的可靠性。几个连续节点中的故障可能导致创建孔,这将导致将网络划分为多个断开连接的段。结果,位于孔之间的传感器节点可能无法提供其感知的信息,该信息消极影响网络感测覆盖范围。本文介绍了UASN-P中不同类型的故障,并研究了对传感覆盖的负面影响。我们利用自主水下车辆(AUV)并开发两种模型来克服这些故障并增强覆盖范围。第一个模型利用AUV作为移动传感器节点的功能,以覆盖网络孔,而第二种模型使用AUV来传送和部署网络孔中的固定传感器节点以替换故障的节点。在两个模型中,放置的节点可以提供额外的感测覆盖,并在UASN-P中的断开连接段之间启用连接。使用有限数量的传感器或传感车辆进行最佳分配的策略。此外,提供了两种模型之间的评估和比较。

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