Cognitive radios (CRs) have a great potential to improve spectrum utilization by enabling
users to access the spectrum dynamically without disturbing licensed primary radios (PRs) …

A comprehensive analysis on the energy-efficient strategy in static Wireless Sensor
Networks (WSNs) that are not equipped with any energy harvesting modules is conducted in …

We consider the distributed estimation of an unknown vector signal in a resource
constrained sensor network with a fusion center. Due to power and bandwidth limitations …

We consider a decentralized multi-sensor estimation problem where L sensor nodes
observe noisy versions of a correlated random source vector. The sensors amplify and …

We consider the detection and estimation of a zero-mean Gaussian signal in a wireless
sensor network with a coherent multiple access channel, when the fusion center (FC) is …

Spectrum sensing is a crucial issue in cognitive radio networks. To improve the sensing
performance, cooperation among the secondary users can be utilized to collect space …

In this work, we study the task of distributed optimization over a network of learners in which
each learner possesses a convex cost function, a set of affine equality constraints, and a set …

Spatiotemporal signal reconstruction from samples randomly gathered in a multidimensional
space with uncertainty is a crucial problem for a variety of applications. Such a problem …

This paper considers a sensor network where single or multiple sensors amplify and forward
their measurements of a common linear dynamical system (analog uncoded transmission) to …

This paper presents a design methodology for optimal transmission energy allocation at a
sensor equipped with energy harvesting technology for remote state estimation of linear …