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INFOCOM
2012
IEEE
12 years 12 months ago
Approximate convex decomposition based localization in wireless sensor networks
—Accurate localization in wireless sensor networks is the foundation for many applications, such as geographic routing and position-aware data processing. An important research d...
Wenping Liu, Dan Wang, Hongbo Jiang, Wenyu Liu, Ch...
GLOBECOM
2008
IEEE
15 years 3 months ago
Distributed Regression in Sensor Networks with a Reduced-Order Kernel Model
Abstract—Over the past few years, wireless sensor networks received tremendous attention for monitoring physical phenomena, such as the temperature field in a given region. Appl...
Paul Honeine, Mehdi Essoloh, Cédric Richard...
GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
15 years 3 months ago
A novel generative encoding for exploiting neural network sensor and output geometry
A significant problem for evolving artificial neural networks is that the physical arrangement of sensors and effectors is invisible to the evolutionary algorithm. For example,...
David B. D'Ambrosio, Kenneth O. Stanley
UIC
2007
Springer
15 years 3 months ago
Self-deployment of Mobile Nodes in Hybrid Sensor Networks by AHP
Abstract. The proper deployment of sensors is very important for the successful completion of the sensing tasks due to the inevitable relation with the physical world. This paper p...
Xiaoling Wu, Jinsung Cho, Brian J. d'Auriol, Sungy...
WIOPT
2005
IEEE
15 years 3 months ago
Interference Power Sum with Log-Normal Components in Ad-Hoc and Sensor Networks
The log-normal shadowing radio model has frequently been used to model radio propagation conditions. There exist accurate calculation methods for estimation of interference power ...
Ramin Hekmat, Piet Van Mieghem