The Community for Technology Leaders
RSS Icon
Nara, Japan
May 10, 2006 to May 12, 2006
ISBN: 0-7695-2526-1
pp: 24
M. Halkidi , Athens University of Economics and Business, Greece
V. Kalogeraki , UC Riverside, USA
D. Gunopulos , UC Riverside, USA
D. Papadopoulos , UC Riverside, USA
D. Zeinalipour-Yazti , University of Cyprus
M. Vlachos , IBM T.J. Watson Research Center, USA
Sensor networks are being deployed for tracking events of interest in many environmental or monitoring applications. Because of their distributed nature of operation, a challenging issue is how to accurately identify the aggregate state of the phenomenon that is being observed. This work presents an online mechanism for efficiently determining the overall network status, employing distributed operations that minimize the communication costs. Experiments on real data, suggest that the proposed metholology can be a viable solution for real world systems.
M. Halkidi, V. Kalogeraki, D. Gunopulos, D. Papadopoulos, D. Zeinalipour-Yazti, M. Vlachos, "Efficient Online State Tracking Using Sensor Networks", MDM, 2006, 7th International Conference on Mobile Data Management, 7th International Conference on Mobile Data Management 2006, pp. 24, doi:10.1109/MDM.2006.80
27 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool