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An Overview of Information Extraction from Mobile Wireless Sensor Networks

机译:从移动无线传感器网络中提取信息的概述

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Information Extraction (IE) is a key research area within the field of Wireless Sensor Networks (WSNs). It has been characterised in a variety of ways, ranging from the description of its purposes, to reasonably abstract models of its processes and components. There has been only a handful of papers addressing IE over mobile WSNs directly, these dealt with individual mobility related problems as the need arises. This paper is presented as a tutorial that takes the reader from the point of identifying data about a dynamic (mobile) real world problem, relating the data back to the world from which it was collected, and finally discovering what is in the data. It covers the entire process with special emphasis on how to exploit mobility in maximising information return from a mobile WSN. We present some challenges introduced by mobility on the IE process as well as its effects on the quality of the extracted information. Finally, we identify future research directions facing the development of efficient IE approaches for WSNs in the presence of mobility.
机译:信息提取(IE)是无线传感器网络(WSNS)领域内的关键研究区域。它以各种方式表征,从其目的的描述范围,以合理的方式抽象其过程和组件的模型。只有少数关于在移动WSNS上直接解决IE的文件,这些涉及各个流动相关的问题,随着需要的存在。本文作为教程呈现,从识别有关动态(移动)现实世界问题的数据的点,将数据与收集的世界相关联,并最终发现数据中的数据。它涵盖了整个过程,特别强调如何利用移动性来自移动WSN的最大信息返回的移动性。我们在IE过程中发挥移动性引入了一些挑战,以及对提取信息质量的影响。最后,我们确定了在存在流动性存在下,面对发展的未来研究方向,即WSN的发展方法。

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