A fault-tolerant acoustic sensor network for monitoring underwater pipelines

N. Mohamed, Latifa Al-Muhairi, J. Al-Jaroodi, I. Jawhar
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引用次数: 7

Abstract

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.
用于水下管道监测的容错声学传感器网络
水声传感器网络(uasn)可用于监测水下长的石油、天然气和水管道结构。在这种情况下,使用一种特殊类型的UASN- p(用于长管道的UASN)。使用usn - p的主要挑战之一是节点之间连接的可靠性。几个相邻节点的故障可能会导致网络出现漏洞,从而导致网络被分割成多个不相连的网段。因此,位于孔之间的传感器节点可能无法传递其感知信息,从而影响网络的感知覆盖。本文分析了usn - p中不同类型的故障,并研究了它们对遥感覆盖的负面影响。我们利用自主水下航行器(auv)并开发了两种模型来克服这些缺陷并提高覆盖范围。第一种模型利用auv作为移动传感器节点覆盖网络漏洞,第二种模型利用auv在网络漏洞中交付和部署固定传感器节点以替换故障节点。在这两种模型中,放置的节点可以提供额外的传感覆盖范围,并使usn - p中断开的部分之间能够连接。提出了利用有限数量的传感器或传感车辆进行最佳配置的策略。并对两种模型进行了评价和比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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