This paper exploits recent developments in sparse approximation and compressive sensing to efficiently perform localization in a sensor network. We introduce a Bayesian framework...
Volkan Cevher, Petros Boufounos, Richard G. Barani...
Abstract—Radio channel quality of real-world wireless networks tends to exhibit both short-term and long-term temporal variations that are in general difficult to model. To maxi...
In high-performance VLSI circuits, the on-chip power densities are playing dominant role due to increased scaling of technology, increasing number of components, frequency and ban...
—A large majority of the Internet traffic relies on TCP as its transport protocol. In future, as the edge of the Internet continues to extend over the wireless medium, TCP (or i...
Shravan Gaonkar, Romit Roy Choudhury, Luiz Magalha...
—This paper proposes an algorithm for the adaptive adjustment of the transmission rate of VoIP sources based on the voice quality estimated at the receiver. This adjustment is ac...