TY - GEN
T1 - An association model of sensor properties for event diffusion spotting sensor networks
AU - Cui, Xiaoning
AU - Li, Qing
AU - Zhao, Baohua
PY - 2008/5/22
Y1 - 2008/5/22
N2 - 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.
AB - 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.
KW - Association model
KW - Correlation
KW - Diffusing event
KW - In-network cooperation
KW - Sensor property
UR - http://www.scopus.com/inward/record.url?scp=43749115367&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-78849-2_20
DO - 10.1007/978-3-540-78849-2_20
M3 - Conference article published in proceeding or book
AN - SCOPUS:43749115367
SN - 3540788484
SN - 9783540788485
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 178
EP - 189
BT - Progress in WWW Research and Development - 10th Asia-Pacific Web Conference, APWeb 2008, Proceedings
T2 - 10th Asia Pacific Conference on Web Technology, APWeb 2008
Y2 - 26 April 2008 through 28 April 2008
ER -