To address the problem of unsupervised outlier detection in wireless sensor networks, we develop an algorithm that (1) is flexible with respect to the outlier definition, (2) wo...
Joel W. Branch, Boleslaw K. Szymanski, Chris Giann...
This work presents a class of unidirectional lifting-based wavelet transforms for an arbitrary communication graph in a wireless sensor network. These transforms are unidirectiona...
Abstract. The sensor reports from a wireless sensor network are often used extensively in the decision making process in many systems and applications. Hence, classifying real and ...
—Debugging and analyzing Wireless Sensor Networks (WSNs) are important tasks for improving the quality and performance of the network. In this paper, Pimoto is to be presented, w...
—Underwater Sensor Networks are typically distributed in nature and the nodes communicate using acoustic waves over a wireless medium. Such networks are characterized by long and...