In this paper we use a reinforcement learning algorithm with the aim to increase the autonomous lifetime of a Wireless Sensor Network (WSN) and decrease latency in a decentralized...
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. Due to their small form factor and modest energy budget, individual sensors are not expected to be GPS-enabled. Moreover, in most applications, exact geographic location ...
Alan A. Bertossi, Stephan Olariu, Maria Cristina P...
In wireless sensor networks, a sensor node broadcasts its data (such as routing information, beacon messages or meta-data) to all its neighbors, which is called local broadcast. A ...
In this paper we present a protocol for sensor applications that require periodic collection of raw data reports from the entire network in a timely manner. We formulate the probl...