基于比较研究的无线传感器网络故障检测

Ali Al-Dahoud, Rayene Doghmane, M. Fezari, Karima Boukari
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引用次数: 1

摘要

本文对无线传感器网络(WSN)系统中的主要故障进行了比较研究。使用这项新技术的应用最近有所增加,因为它具有连接物理世界和虚拟世界的巨大能力。无线传感器网络可以评估机器人或人类在技术上难以到达的位置。随着云计算加入到WSN中,我们期望看到一个被数万亿连接设备覆盖的世界,这些设备相互感知和共享数据信息。然而,由于节点损坏、传感器损坏、射频通信以及通常的电源故障,部署的许多部分都经历了高故障率。本文介绍了WSN故障检测方面的研究成果。最后,我们提出了一个基于模型的故障检测方法的比较案例研究。我们还提到了用于wsn的流行模拟环境。最后,我们展示了一个使用NS-2的基于案例的模拟。这项工作可以很好地调查无线传感器网络的主要故障。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Failure detection on wireless sensor network based on comparative study
In this paper, we present a comparative study on the main faults in a Wireless Sensor Networks (WSN) system. The applications using this new technology have recently been increased due to its huge capacity to connect both the physical and the virtual worlds. WSNs allow assessing locations, which are technically hard to reach by robots or human. With Cloud computing added to the WSN, we expect to see a world covered with trillions of connected devices that sense and share data information with each other. However, many parts of the deployments experience high rates of failure due to node's damage, sensor's damage, RF communication and usually power failure. In this paper, we mentioned existing research works that deal with failure detection in the WSN. Eventually, we presented a comparative case-study of model-based approaches used for failure detection. We also mentioned popular simulation environments used for WSNs. And finally, we showed a case-based simulation using NS-2. This work can be a good survey on Wireless Sensor Network main failures.
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