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首页> 外文期刊>Parallel and Distributed Systems, IEEE Transactions on >Ship Detection with Wireless Sensor Networks
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Ship Detection with Wireless Sensor Networks

机译:无线传感器网络进行船舶检测

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摘要

Surveillance is a critical problem for harbor protection, border control or the security of commercial facilities. The effective protection of vast near-coast sea surfaces and busy harbor areas from intrusions of unauthorized marine vessels, such as pirates smugglers or, illegal fishermen is particularly challenging. In this paper, we present an innovative solution for ship intrusion detection. Equipped with three-axis accelerometer sensors, we deploy an experimental Wireless Sensor Network (WSN) on the sea's surface to detect ships. Using signal processing techniques and cooperative signal processing, we can detect any passing ships by distinguishing the ship-generated waves from the ocean waves. We design a three-tier intrusion detection system with which we propose to exploit spatial and temporal correlations of an intrusion to increase detection reliability. We conduct evaluations with real data collected in our initial experiments, and provide quantitative analysis of the detection system, such as the successful detection ratio, detection latency, and an estimation of an intruding vessel's velocity.
机译:监视是港口保护,边境管制或商业设施安全的关键问题。要有效地保护广大的近海海域和繁忙的港口地区免受未经授权的海上船只的入侵,例如海盗走私者或非法渔民。在本文中,我们提出了一种用于船舶入侵检测的创新解决方案。配备三轴加速度传感器,我们在海面上部署了一个实验性无线传感器网络(WSN)以检测船舶。通过使用信号处理技术和协作信号处理,我们可以通过将船舶产生的海浪与海浪区分开来检测任何经过的船舶。我们设计了一个三层式入侵检测系统,通过该系统,我们建议利用入侵的时空相关性来提高检测的可靠性。我们使用在初始实验中收集的真实数据进行评估,并提供对检测系统的定量分析,例如成功的检测率,检测潜伏期以及对入侵船只速度的估计。

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