The research reported in this paper uses wireless sensor networks to provide salient information about spatially distributed dynamic fields, such as regional variations in tempera...
In this paper3 , we use Bayesian Networks as a means for unsupervised learning and anomaly (event) detection in gas monitoring sensor networks for underground coal mines. We show t...
X. Rosalind Wang, Joseph T. Lizier, Oliver Obst, M...
Wireless Sensor Network (WSN) is an emerging technology that shows great promise for various futuristic applications both for mass public and military. The sensing technology c...
Realistic, complex, outdoor environments pose significant challenges for node localization in Wireless Sensor Networks. In spite of the fact that many elegant and clever solutions...
Abstract--Distributed detection of information flows is considered in which traffic sensors at different locations of a network observe transmission epochs. The traffic sensors com...