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Overcoming the Deficiencies of Collaborative Detection of Spatially-Correlated Events in WSN

机译:克服WSN中的空间相关事件的协作检测的缺陷

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Collaborative WSN are known to efficiently correlate sensors' events to detect spatially-correlated events with a low latency. However, because of the drastic reduction of messages sent to the network administrator, it is difficult for him/her to understand in what state the network is. In this paper, we propose a modality-agnostic collaborative detection of spatio-temporally correlated events that drastically lowers power consumption by both reducing and localising communication. This contribution can then be used to expose better auditing capabilities that overcome the problems usually found in collaborative networks. These capabilities can in turn be used by both the administrator and the network itself to, for instance, automatically react to faulty sensors. Experiments validate the interest of our proposal in an intrusion detection scenario.
机译:已知协作WSN有效地关联传感器的事件以检测具有低延迟的空间相关事件。但是,由于发送到网络管理员的消息的急剧减少,他/她难以在网络是什么状态的情况下理解。在本文中,我们提出了一种模型 - 暂时的协作检测时空相关的事件,其通过减少和定位通信大大降低了功耗。然后可以使用此贡献来揭示更好的审计功能,以克服协同网络中通常存在的问题。这些功能又可以由管理员和网络本身使用,例如,自动对传感器自动反应。实验验证了我们在入侵检测方案中提案的利益。

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