Bringing Complex Event Processing into Multitree Modelling of Sensors

Abstract : The recent advances in the Internet of Things allow deploying a large variety of applications for smart cities, home automation or the industry of the future. These applications generate a large amount of data that can be challenging to manage; identifying and parsing this data become a prominent problem. In order to address this issue, we propose a multitree model for the sensor representation which matches the need for heterogeneous applications and user support. From there, we define a complex event processor based on a new language and grammar, in order to filter and identify user specific events. We show that we considerably reduce the size of queries by focusing on end-users knowledges as semantics for data streams.
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Alexandre Garnier, Jean-Marc Menaud, Nicolas Montavont. Bringing Complex Event Processing into Multitree Modelling of Sensors. 16th IFIP WG 6.1 International Conference on Distributed Applications and Interoperable Systems (DAIS), Jun 2016, Heraklion, Crete, Greece. pp.196-210, ⟨10.1007/978-3-319-39577-7_16⟩. ⟨hal-01434795⟩

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