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GREASE Framework - Generic Reconfigurable Evaluation and Aggregation of Sensor Data

Authors:
Matthias Vodel
René Bergelt
Wolfram Hardt

Keywords: Data Aggregation; Data Fusion; Data Synchronisation; Heterogeneous Wireless Sensor Network; Sensor Actuator Systems

Abstract:
The proposed research work represents a generic, energy-efficient concept for the synchronised logging, processing and visualisation of any kind of sensor data. The concept enables a chronological coordination and correlation of information from different, distributed sensor networks as well as from any other self-sufficient measurement systems. Based on the achieved relation between the several sensor sources, the information quality can be increased significantly. Therefore, the system-wide description of the monitoring scenario and each data set is realised in XML. Accordingly, the aggregated, heterogeneous sensor information are convertible into multiple output formats. Dependent on the application specific requirements for the visualisation, we are able to consider additional meta-information from the test environment to optimise the data representation. The definition of advanced data fusion techniques and pre-processing mechanisms allows a selective data filtering to shrink the network load. To evaluate of basic usability requirements and the efficiency of the proposed concept, an automotive sensor network represents a capable test system for the proposed framework. Within the demonstrator, the available on-board measurement systems were extended by high-precision sensor nodes, which establish wireless sensor network topology. Afterwards, the correlated measurement information were converted and visualised for several professional data analysis tools, e.g., jBEAM, Google Earth, and FlexPro.

Pages: 47 to 52

Copyright: Copyright (c) IARIA, 2012

Publication date: March 25, 2012

Published in: conference

ISSN: 2308-412X

ISBN: 978-1-61208-189-2

Location: St. Maarten, The Netherlands Antilles

Dates: from March 25, 2012 to March 30, 2012