Fighting Earth's degradation and safeguarding the environment are subjects of topical
interest and sources of hot debate in today's society. According to the United Nations, there …

The wide availability of sensing modules and computing capabilities in modern mobile
devices (smartphones, smart watches, in-vehicle sensors, etc.) is driving the shift from mote …

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 …

Traditional analysis and design for networked control systems (NCSs) with state
quantization have been investigated under single wired/wireless network environment. This …

The authors consider the distributed estimation of a Gaussian vector with a linear
observation model in an inhomogeneous wireless sensor network, in which a fusion center …

This paper studies the beneficial combination of wireless power transfer and millimeter-
wave (mmWave) communications in wireless sensor networks. In particular, an mmWave …

This paper describes an optimal operation scheme for energy management systems using
Gaussian process forecasting and model predictive control (MPC) in the context of grid …

We develop a novel statistical decision-theoretic framework for urban design from an
outdoor thermal comfort (OTC), social and economic perspectives. We combine those …

In this paper, we address the challenging problem of multiple source localization in wireless
sensor networks (WSN). We develop an efficient statistical algorithm, based on the novel …

An optimal precoder design is conceived for the decentralized estimation of an unknown
spatially as well as temporally correlated parameter vector in a multiple-input multiple-output …