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A Model-Based Monitoring Scheme for Disruption-tolerant Underwater Sensor Networks

机译:基于模型的耐干扰水下传感器网络监测方案

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Underwater sensor networks have the potential to enhance our ability of observing and monitoring underwater physical phenomena, warning against natural disasters, and protecting critical areas, such as ports, from malicious attacks. However, the adverse underwater conditions and the limits of underwater acoustic communication, such as volatile link quality and temporal node isolation, remarkably affect the quality of real-time monitoring. In this paper we analyze the problem of designing a disruption/delay tolerant data collection scheme for real-time underwater sensor monitoring. More precisely, we point out the pros and cons of current data collection approaches, and propose a model-based monitoring scheme that provides probabilistic user guarantees in the presence of temporal communication disruptions. We outline the benefits of our model-based approach, such as resource-efficiency, high adaptability and anomaly detection, and discuss some future work.
机译:水下传感器网络具有增强我们观察和监视水下物理现象,防范自然灾害以及保护关键区域(例如港口)免受恶意攻击的能力。但是,不利的水下条件和水下声通信的局限性,例如易变的链路质量和临时节点隔离,都显着影响实时监视的质量。在本文中,我们分析了设计用于水下水下传感器实时监控的抗干扰/延迟数据收集方案的问题。更准确地说,我们指出了当前数据收集方法的利弊,并提出了一种基于模型的监视方案,该方案可在存在临时通信中断的情况下为用户提供概率保证。我们概述了基于模型的方法的优势,例如资源效率,高适应性和异常检测,并讨论了一些未来的工作。

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