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...
Multiprocessors require an interconnection network to connect processors with memory modules. The performance of the interconnection network can have a large effect upon overall s...
We study the capacity allocation problem in service overlay networks (SON)s with state-dependent connection routing based on revenue maximization. We formulate the dimensioning pro...
Consider a setting in which a group of nodes, situated in a large underlying network, wishes to reserve bandwidth on which to support communication. Virtual private networks (VPNs...
Anupam Gupta, Jon M. Kleinberg, Amit Kumar, Rajeev...
Forecasting of wave height is necessary in a large number of ocean coastal activities. Recently, neural networks are used for prediction and approximation of wave heights in sea a...