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2013 IEEE 14th International Conference on Mobile Data Management (2006)
Nara, Japan
May 10, 2006 to May 12, 2006
ISSN: 1551-6245
ISBN: 0-7695-2526-1
pp: 24
M. Vlachos , IBM T.J. Watson Research Center, USA
D. Papadopoulos , UC Riverside, USA
D. Zeinalipour-Yazti , University of Cyprus
D. Gunopulos , UC Riverside, USA
V. Kalogeraki , UC Riverside, USA
M. Halkidi , Athens University of Economics and Business, Greece
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. Vlachos, D. Papadopoulos, D. Zeinalipour-Yazti, D. Gunopulos, V. Kalogeraki, M. Halkidi, "Efficient Online State Tracking Using Sensor Networks", 2013 IEEE 14th International Conference on Mobile Data Management, vol. 00, no. , pp. 24, 2006, doi:10.1109/MDM.2006.80
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