—We consider distributed estimation of the inverse covariance matrix in Gaussian graphical models. These models factorize the multivariate distribution and allow for efficient d...
Many event-driven localization methods have been proposed as low cost, energy efficient solutions for wireless senor networks. In order to eliminate the requirement of accurately...
In wireless sensor networks, the coarse grained localization is a method to compute the position of randomly distributed sensor nodes. Without optimizations, it provides low preci...
Frank Reichenbach, Jan Blumenthal, Dirk Timmermann
Energy in sensor networks is a distributed, non-transferable resource. Over time, differences in energy availability are likely to arise. Protocols like routing trees may concent...
Geoffrey Werner Challen, Jason Waterman, Matt Wels...
—Mission-driven sensor networks usually have special lifetime requirements. However, the density of the sensors may not be large enough to satisfy the coverage requirement while ...