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...
Secure and energy efficient transmission is a main concern in many wireless sensor network applications. In this paper, two types of denial-of-service attacks that affect the rout...
The wireless sensor network community approached netabstractions as an open question, allowing answers to emerge with time and experience. The Trickle algorithm has become a basic...
Philip Levis, Eric A. Brewer, David E. Culler, Dav...
The identification of holes in a wireless sensor network is of primary interest since the breakdown of sensor nodes in a larger area often indicates one of the special events to ...
Abstract— Wireless sensor networks (WSNs) employed in monitoring applications require data collected by the sensors to be deposited at specific nodes, referred to as drains. To ...