A possible alternative to fine topology tuning for Neural Network (NN) optimization is to use Echo State Networks (ESNs), recurrent NNs built upon a large reservoir of sparsely r...
We propose a general framework of the iterative local solution (ILS) for computing a connected dominating set (CDS) in ad hoc wireless networks, which include wireless sensor netwo...
Abstract—We present the estimation and evaluation of deployment models for sensor networks that exploit different amounts of a priori information. Topologies generated from the m...
Although there is tremendous interest in designing improved networks for data centers, very little is known about the network-level traffic characteristics of current data centers...
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...