@inproceedings{74a9258583074fec89216b67cc041702,
title = "An association model of sensor properties for event diffusion spotting sensor networks",
abstract = "Recent years of research on sensor networks have resulted in multi-scale processing techniques for sensor data mining able to reflect the dynamic nature of real-world context. However, few of these techniques provide a systematic view of the relationships between sensor data streams and correlated network behaviors. In this paper, an association model of inherent, data and network properties is presented and analyzed for a suite of event diffusion spotting applications. Based on the associated model, window-based in-network cooperation is conducted for sensitive event diffusion spotting. Experimental results verify the performance of our approach, and confirm the scalability of our association perspective of sensor properties in such event diffusion spotting networks. {\textcopyright} 2008 Springer-Verlag Berlin Heidelberg.",
keywords = "Association model, Correlation, Diffusing event, In-network cooperation, Sensor property",
author = "Xiaoning Cui and Qing Li and Baohua Zhao",
year = "2008",
doi = "10.1007/978-3-540-78849-2\_20",
language = "English",
isbn = "3540788484",
volume = "4976 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "178--189",
booktitle = "Progress in WWW Research and Development",
address = "Germany",
note = "10th Asia Pacific Conference on Web Technology, APWeb 2008 ; Conference date: 26-04-2008 Through 28-04-2008",
}