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...
Abstract—In this paper, we investigate the problem of maximizing the throughput over a finite-horizon time period for a sensor network with energy replenishment. The finite-horiz...
Shengbo Chen, Prasun Sinha, Ness B. Shroff, Changh...
Abstract—In this paper we present MicroPulse, a novel framework for adapting the waking window of a sensing device S based on the data workload incurred by a query Q. Assuming a ...
: Wireless Local Area Networks (WLAN) do not only provide a means for wireless communication, they can also supply terminal positions to location-aware services and applications. T...
Michael Wallbaum, Andreas Dieckmann, Peter Russell...
Ad-hoc networks and sensor networks, where nodes communicate with each other without fixed infrastructure, are of great importance for many industrial, environmental, and safety-r...
Shurjeel Wyne, Telmo Santos, Fredrik Tufvesson, An...