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...
Determining physical location of indoor objects is one of the key issues in development of context-aware applications in ubiquitous computing environment. This is mainly because c...
In this paper, we present the design and implementation of a distributed sensor network application for embedded, isolated-word, real-time speech recognition. In our system design...
Chung-Ching Shen, William Plishker, Shuvra S. Bhat...
This paper presents a distributed implementation of RAND, a randomized time slot scheduling algorithm, called DRAND. DRAND runs in O() time and message complexity where is the max...
Random walks in wireless sensor networks can serve as fully local, very simple strategies for sink motion that reduce energy dissipation a lot but increase the latency of data coll...
Constantinos Marios Angelopoulos, Sotiris E. Nikol...