In this paper, a general theoretical framework is established for the robust fusion filtering
problem of discrete time-varying stochastic multisensor systems under energy harvesting …

Emerging intelligent applications based on accurate and timely stream analytics require real-
time CNN inference of massive data continuously generated at the pervasive end devices …

This paper is concerned with the recursive fusion estimation‐based mobile robot localization
(RL) problem by employing multiple energy harvesting sensors (EHSs). In the addressed RL …

In this article, we investigate an energy harvesting (EH) wireless sensor network for the
Internet of Things (IoT) where monitoring applications require a continuous update of …

This paper is concerned with a resilient outlier-resistant recursive filtering problem for a
class of time-delayed spatial–temporal systems (STSs) with energy harvesting sensors. We …

We investigate a wireless powered sensor network, in which multiple sensors generate data
and send their data to a base station (BS) periodically. Each sensor first harvests energy …

This work considers an IoT network comprising of several IoT sensor nodes (SNs), a passive
intelligent reflecting surface (IRS), and a fusion center (FC). Each IoT SN observes multiple …

This work conceives the robust linear transceivers for the estimation of an unknown vector
parameter in a coherent multiple access channel (MAC)-based multiple-input multiple …

Herein, minimization of time-averaged age-of-information (AoI) in an energy harvesting (EH)
source setting is considered. The EH source opportunistically samples one or multiple …

Robust linear decentralized tracking of a time-varying sparse parameter is studied in a
multiple-input–multiple-output (MIMO) wireless sensor network (WSN) under channel state …