—We consider distributed estimation of the inverse covariance matrix in Gaussian graphical models. These models factorize the multivariate distribution and allow for efficient d...
Localization is an important and extensively studied problem in ad-hoc wireless sensor networks. Given the connectivity graph of the sensor nodes, along with additional local info...
Amitabh Basu, Jie Gao, Joseph S. B. Mitchell, Giri...
Nowadays, the source localization has been widely applied for wireless sensor networks. The Gaussian mixture model has been adopted for maximum-likelihood (ML) source localization ...
—In wireless sensor networks (WSNs), the frequency of sensing and data gathering depends on application requirements and surrounding conditions. In this paper, we propose a data ...
An ID recognition system is described that uses optical beacons and a high-speed image sensor. The ID sensor captures a scene like an ordinary camera and recognizes the ID of a be...