Database Reference
In-Depth Information
International Conference , pages 419-429, Minneapolis, MI, USA,
May 1994.
[37] E. Fidler, H. a. Jacobsen, G. Li, and S. Mankovski. The padres
distributed publish/subscribe system. In Proc. of the Conference
on Feature Interactions in Telecommunications and Software Sys-
tems , 2005.
[38] D. Ganesan, B. Greenstein, D. Estrin, J. Heidemann, and
R. Govindan. Multiresolution storage and search in sensor net-
works. ACM TOS , 1(3):27-315, 2005.
[39] N. Giatrakos, Y. Kotidis, and A. Deligiannakis. Pao: power-
ecient attribution of outliers in wireless sensor networks. In
DMSN , pages 33-38, 2010.
[40] N. Giatrakos, Y. Kotidis, A. Deligiannakis, V. Vassalos, and Y.
Theodoridis. Taco: tunable approximate computation of outliers
in wireless sensor networks. In SIGMOD Conference , pages 279-
290, 2010.
[41] A. C. Gilbert, Y. Kotidis, S. Muthukrishnan, and M. Strauss. Surf-
ing wavelets on streams: One-pass summaries for approximate ag-
gregate queries. In VLDB , pages 79-88, 2001.
[42] O. Gnawali, R. Fonseca, K. Jamieson, D. Moss, and P. Levis. The
collection tree protocol. In Proc. of the Int. Conf. on Embedded
Networked Sensor Systems (SenSys) , 2009.
[43] D. Golovin, M. Faulkner, and A. Krause. Online distributed sensor
selection. In IPSN , pages 220-231, 2010.
[44] L. Gruenwald, Md. S. Sadik, R. Shukla, and H. Yang. DEMS: A
Data Mining Based Technique to Handle Missing Data in Mobile
Sensor Network Applications. In Proc. of the Int. Conf. on Data
Mgmt. for Sensor Networks (DMSN) , 2010.
[45] C. Guestrin, P. Bodik, R. Thibaux, M. Paskin, and S. Madden.
Distributed Regression: an Ecient Framework for Modeling Sen-
sor Network Data. In IPSN , Berkeley, CA, 2004.
[46] M. Hassani, E. Muller, and T. Seidl. EDISKCO: Energy ecient
distributed in-sensor-network k-center clustering with outliers. In
In Proceedings of the Third International Workshop on Knowledge
Discovery from Sensor Data SensorKDD , pages 39-48, 2009.
[47]M.Hassani,E.Muller, P. Spaus, A. Faqolli, T. Palpanas, and T.
Seidl. Self-organizing energy aware clustering of nodes in sensor
networks using relevant attributes. In Proc. of the Int. Wkshp. on
Kowledge Discovery from Sensor Data (SensorKDD) , 2010.
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