We investigate the impact of mobile node density on several detection performance measures for stationary target detection by a hybrid sensor network consisting of both static and ...
We propose a kernelized maximal-figure-of-merit (MFoM) learning approach to efficiently training a nonlinear model using subspace distance minimization. In particular, a fixed,...
We propose several localized sensor area coverage protocols, for arbitrary ratio of sensing and transmission radii. Sensors are assumed to be time synchronized, and active sensors...
Antoine Gallais, Jean Carle, David Simplot-Ryl, Iv...
Abstract— Underlay topology information is important to construct efficient overlay networks. To achieve end-to-end network topology inference among a group of hosts, traceroute...
We initiate the study of semi-oblivious routing, a relaxation of oblivious routing which is first introduced by R¨acke and led to many subsequent improvements and applications. ...
Mohammad Taghi Hajiaghayi, Robert D. Kleinberg, To...