Information extraction from large-scale WSNs: approaches and research issues: approaches and research issues: part III: towards a hybrid approach


Daniel, T. and Gaura, E. (2008) Information extraction from large-scale WSNs: approaches and research issues: approaches and research issues: part III: towards a hybrid approach. Sensors & Transducers, volume 94 (7): 57-82


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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. 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.



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Item TypeArticle
TitleInformation extraction from large-scale WSNs: approaches and research issues: approaches and research issues: part III: towards a hybrid approach
AuthorsDaniel, T.
Gaura, E. (profile-link for )
Uncontrolled Keywordsinformation extraction, mobile agents, wireless sensor network architectures
Departments Engineering and Computing
Engineering and Computing/Cogent Computing Research Centre
Flow Measurement and Fluid Mechanics Research Centre (FMFM)
Identifiers
ISSN1726-5479
Related URLs
Part IPart II
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Deposited on 05-Aug-2013 in Research - Coventry.
Last modified on 09-Feb-2017

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