期刊名称：International Journal of Distributed Sensor Networks
印刷版ISSN：1550-1329
电子版ISSN：1550-1477
出版年度：2011
卷号：2011
DOI：10.1155/2011/521810
出版社：Hindawi Publishing Corporation
摘要：Wireless sensor networks (WSNs) provide a means to acquire lots of
raw data from vast amounts of easy-to-deploy sensors. Ontologies
facilitate structuring data into information and support automatic
inference mechanisms. The combination of wireless sensor networks
and ontologies can bring significant added value to intelligently
process the raw data into meaningful information. In an
ontology-based system, this process is referred to as description
logics (DL) reasoning. However, the sensors might not be able to
execute the reasoning process locally because of resource
constraints. Additionally, the usage of the radio interface
consumes a lot of power. Therefore, a balance has to be found
between local processing and transmission towards the more
powerful nodes. In this paper, we present our collaboration
platform to bring together wireless sensor networks and
distributed ontology A-Box reasoning. This platform should support
the adoption of ontology-based methodologies and DL-Reasoning in a
distributed setting. We detail a number of algorithms to optimise
both bandwidth utilisation and power consumption. These algorithms
have been evaluated on a real-life wireless sensor and mesh
network test bed, namely WiLab.t. The results show that
significant savings of up to 92% in terms of bandwidth
utilisation can result from our approach.
