The primary feature of cognitive radios for wireless communication systems is the capability to optimize the relevant communication parameters given a dynamic wireless channel env...
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
A methodology and its associated algorithms are presented for mapping a novel, field-based vehicular mobility model onto graphical processing unit computational platform for simul...
Kalyan S. Perumalla, Brandon G. Aaby, Srikanth B. ...
—Recent studies have discovered that the Internet delay space has many interesting properties such as triangle inequality violations (TIV), clustering structures and constrained ...
We demonstrate the channel assignment in a metropolitan wireless multi-radio mesh network with directional antennas. A channel assignment approach is presented using suitable algo...