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Information extraction from large-scale WSNs: approaches and research issues: approaches and research issues: part I: overview and agent based approaches

机译：从大规模无线传感器网络中提取信息：方法和研究问题：方法和研究问题：第一部分：概述和基于代理的方法

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Regardless of the application domain and deployment scope, the ability to retrieve information is critical to the successful functioning of any wireless sensor network (WSN) system. In general, information extraction procedures can be categorized into three main approaches: agent-based, query-based and macroprogramming. Whilst query-based systems are the most popular, macroprogramming techniques provide a more general-purpose approach to distributed computation. Finally, the agent-based approaches tailor the information extraction mechanism to the type of information needed and the configuration of the network it needs to be extracted from. This suite of three papers (Part I-III) offers an extensive survey of the literature in the area of WSN information extraction, covering in Part I and Part II the three main approaches above. Part III highlights the open research questions and issues faced by deployable WSN system designers and discusses the potential benefits of both in-network processing and complex querying for large scale wireless informational systems.

机译：无论应用程序域和部署范围如何，检索信息的能力对于任何无线传感器网络（WSN）系统的成功运行都是至关重要的。通常，信息提取过程可以分为三种主要方法：基于代理，基于查询和宏编程。尽管基于查询的系统是最流行的，但是宏编程技术为分布式计算提供了更通用的方法。最后，基于代理的方法将信息提取机制定制为所需信息的类型以及需要从中提取信息的网络的配置。这套三篇论文集（第I-III部分）对WSN信息提取领域的文献进行了广泛的调查，在第I部分和第II部分中涵盖了上述三种主要方法。第三部分重点介绍了可部署的WSN系统设计人员面临的开放研究问题和问题，并讨论了针对大规模无线信息系统的网络内处理和复杂查询的潜在好处。

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Gaura E.; Daniel T.;
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年度 2008
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机译：从大规模无线传感器网络中提取信息：方法和研究问题：方法和研究问题：第二部分：基于查询和宏编程的方法

Information extraction from large-scale WSNs: approaches and research issues: approaches and research issues: part I: overview and agent based approaches

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