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PERCOM
2007
ACM
14 years 7 months ago
Macro Programming through Bayesian Networks: Distributed Inference and Anomaly Detection
Macro programming a distributed system, such as a sensor network, is the ability to specify application tasks at a global level while relying on compiler-like software to translat...
Marco Mamei, Radhika Nagpal
GISCIENCE
2010
Springer
212views GIS» more  GISCIENCE 2010»
13 years 9 months ago
Qualitative Change to 3-Valued Regions
Regions which evolve over time are a significant aspect of many phenomena in geographic information science. Examples include areas in which a measured value (e.g. temperature, sal...
Matt Duckham, John G. Stell, Maria Vasardani, Mich...
SENSYS
2005
ACM
14 years 1 months ago
A new approach for establishing pairwise keys for securing wireless sensor networks
Wireless sensor networks based on highly resource-constrained devices require symmetric cryptography in order to make them secure. Integral to this is the exchange of unique symme...
Arno Wacker, Mirko Knoll, Timo Heiber, Kurt Rother...
TSP
2008
149views more  TSP 2008»
13 years 7 months ago
Decentralized Quantized Kalman Filtering With Scalable Communication Cost
Estimation and tracking of generally nonstationary Markov processes is of paramount importance for applications such as localization and navigation. In this context, ad hoc wireles...
Eric J. Msechu, Stergios I. Roumeliotis, Alejandro...
ICASSP
2008
IEEE
14 years 2 months ago
Energy efficient change detection over a MAC using physical layer fusion
We propose a simple and energy efficient distributed Change Detection scheme for sensor networks based on Page’s parametric CUSUM algorithm. The sensor observations are IID ove...
Taposh Banerjee, Veeraruna Kavitha, Vinod Sharma