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...
ng Link Abstraction for Wireless Sensor Networks Joseph Polastre, Jonathan Hui, Philip Levis, Jerry Zhao, David Culler, Scott Shenker, and Ion Stoica Computer Science Department In...
Joseph Polastre, Jonathan Hui, Philip Levis, Jerry...
We consider the problem of inter-cluster routing between cluster heads via intermediate sensor nodes in a hierarchical sensor network. Sensor nodes having limited and unreplenishab...
Sensor positioning is a crucial part of many location-dependent applications that utilize wireless sensor networks (WSNs). Current localization approaches can be divided into two ...
A wireless sensor network typically consists of a dense deployment of sensor nodes to achieve higher resolution and better network coverage. A dense network also increases the fau...