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» Conditional Sensor Deployment Using Evolutionary Algorithms
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EURONGI
2006
Springer
13 years 11 months ago
Randomized Self-stabilizing Algorithms for Wireless Sensor Networks
Wireless sensor networks (WSNs) pose challenges not present in classical distributed systems: resource limitations, high failure rates, and ad hoc deployment. The lossy nature of w...
Volker Turau, Christoph Weyer
GLOBECOM
2010
IEEE
13 years 5 months ago
Sensor Placement for Minimum Exposure in Distributed Active Sensing Networks
Distributed active sensing is a new sensing paradigm, where active sensors and passive sensors are distributed in a field, and collaboratively detect and track the objects. "E...
Na Xia, Khuong Vu, Rong Zheng
DAGSTUHL
2008
13 years 9 months ago
Distributed Bounded-Error Parameter and State Estimation in Networks of Sensors
This paper presents distributed bounded-error parameter and state estimation algorithms suited to measurement processing by a network of sensors. Contrary to centralized estimation...
Michel Kieffer
GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
14 years 1 months ago
A multi-objective approach to discover biclusters in microarray data
The main motivation for using a multi–objective evolutionary algorithm for finding biclusters in gene expression data is motivated by the fact that when looking for biclusters ...
Federico Divina, Jesús S. Aguilar-Ruiz
MONET
2006
102views more  MONET 2006»
13 years 7 months ago
Locating and Bypassing Holes in Sensor Networks
In real sensor network deployments, spatial distributions of sensors are usually far from being uniform. Such networks often contain regions without enough sensor nodes, which we ...
Qing Fang, Jie Gao, Leonidas J. Guibas