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» Challenges for Data Mining in Distributed Sensor Networks
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DMSN
2005
ACM
13 years 9 months ago
The threshold join algorithm for top-k queries in distributed sensor networks
In this paper we present the Threshold Join Algorithm (TJA), which is an efficient TOP-k query processing algorithm for distributed sensor networks. The objective of a top-k query...
Demetrios Zeinalipour-Yazti, Zografoula Vagena, Di...
DCOSS
2007
Springer
14 years 1 months ago
Localization for Anchoritic Sensor Networks
We introduce a class of anchoritic sensor networks, where communications between sensor nodes are undesirable or infeasible due to, e.g., harsh environments, energy constraints, or...
Yuliy M. Baryshnikov, Jian Tan
AAAI
2007
13 years 10 months ago
Learning Large Scale Common Sense Models of Everyday Life
Recent work has shown promise in using large, publicly available, hand-contributed commonsense databases as joint models that can be used to infer human state from day-to-day sens...
William Pentney, Matthai Philipose, Jeff A. Bilmes...
PERCOM
2003
ACM
14 years 7 months ago
Energy-Aware Target Localization in Wireless Sensor Networks
Wireless distributed sensor networks (DSNs) are important for a number of strategic applications such as coordinated target detection, surveillance, and localization. Energy is a ...
Yi Zou, Krishnendu Chakrabarty
TPDS
2008
167views more  TPDS 2008»
13 years 7 months ago
Algorithms for Fault-Tolerant Topology in Heterogeneous Wireless Sensor Networks
This paper addresses fault-tolerant topology control in a heterogeneous wireless sensor network consisting of several resource-rich supernodes, used for data relaying, and a large...
Mihaela Cardei, Shuhui Yang, Jie Wu