We extend stochastic network optimization theory to treat networks with arbitrary sample paths for arrivals, channels, and mobility. The network can experience unexpected link or n...
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...
In the study of information flow in the nervous system, component processes can be investigated using a range of electrophysiological and imaging techniques. Although data is diff...
In this paper, we describe the approach to achieve a high level of interoperability in the eduSource. The eduSource project is a panCanadian collaborative project to create a test...
Abstract. The ability to update the program code installed on wireless sensor nodes plays an import role in the highly dynamic environments sensor networks are often deployed in. S...
Andreas Lachenmann, Daniel Minder, Kurt Rothermel,...