A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
—We present a game-theoretic study on the power and rate control problem in IEEE 802.11 WLANs where network participants choose appropriate transmission power and data rate to ac...
A new data-driven approach to atmospheric sensing and detecting/ predicting hazardous atmospheric phenomena is presented. Dense networks of small high-resolution radars are deploye...
Jerry Brotzge, V. Chandresakar, Kelvin Droegemeier...
Enabling a sophisticated Demand Response (DR) framework, whereby individual consumers adapt their electricity consumption in response to price variations, is a major objective of ...
Structured peer-to-peer hash tables provide decentralization, self-organization, failure-resilience, and good worst-case lookup performance for applications, but suffer from high ...