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(ISSN 1726- 5479) |
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Sensors & Transducers Journal 2007 2000-2002 S&T e-Digest Contents
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Vol. 94, Issue 7, July 2008, pp.34-56
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Information Extraction from
Large-scale WSNs: Approaches and Research Issues
Part II:
Query-Based and Macroprogramming Approaches
Tessa DANIEL, Elena GAURA
Cogent Computing Applied Research Centre, Coventry University, UK CV1 5FB
E-mail: e.gaura@coventry.ac.uk, www.cogentcomputing.org
Received: 29 June 2008 /Accepted: 21 July 2008 /Published: 31 July 2008
Abstract: 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 led. 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.
Keywords: Information extraction, Query Based Systems, Macroprogramming
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