18th International Conference on Database and Expert Systems Applications (DEXA 2007) Modeling a Sensor Network by means of Clustering Regensburg, Germany September 03-September 07 ISBN: 0-7695-2932-1
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DEXA.2007.23
Querying a sensor network requires the acquisition from sensors of measurements describing the state of the monitored environment. To transmit the required information, sensors consume energy. Since sensors are batterypowered, reduced energy consumption allows the extension of a sensor?s lifetime. Hence, an important issue in this context is the reduction of energy consumption during data collection. We propose a framework that performs the analysis of historical sensor readings to provide better quality models for sensor networks under realistic assumptions (e.g., presence of outliers) without restrictive hypotheses on sensor variables. The framework exploits clustering techniques to select a subset of representative sensors, which will be queried instead of the whole network to reduce communication and computation costs and balance energy consumption among sensors. Preliminary experimental results, performed on data collected from 54 sensors deployed in the Intel Berkeley Research lab show the adaptability and the effectiveness of the proposed approach.
Citation:
Elena Baralis, Tania Cerquitelli, Vincenzo D'Elia, "Modeling a Sensor Network by means of Clustering," dexa, pp.177-181, 18th International Conference on Database and Expert Systems Applications (DEXA 2007), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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