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Message models and aggregation in knowledge based middleware for rich sensor systems

Message models and aggregation in knowledge based middleware for rich sensor systems,10.1145/1594187.1594203,Joseph B. Kopena,William C. Regli,Boon Th

Message models and aggregation in knowledge based middleware for rich sensor systems   (Citations: 1)
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Networked, distributed real world sensing is an increasingly promi- nent topic in computing and has quickly expanded from resource constrained "sensor networks" measuring simple values to "sen- sor webs" of heterogenous networks encompassing many types of services and hosts, processing a wide variety of data and media. This paper presents ongoing work on OntoNet, which aims to pro- vide messaging middleware in support of such rich sensor systems. In particular, this paper discusses the underlying message deliv- ery model assumptions required in effectively supporting these set- tings. Those assumptions in turn present large implications for the mechanisms used to describe and match messages and destinations, as well as how to effectively do so in a scalable but correct manner. Initial concepts are also presented for two approaches to aggregat- ing metadata and reducing network and memory consumption in OntoNet. One is a new application of least common subsumer in- duction, a known but infrequently used description logic inference. The other is a novel application of Bloom filters to representing and querying ontology driven data.
Conference: Data Management for Sensor Networks - DMSN , pp. 1-6, 2009
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