In recent years, a compelling need has arisen to understand the effects of distributed
information structures on estimation and filtering. In this study, a bibliographical review on …

We propose an open-loop and a closed-loop stochastic event-triggered sensor schedule for
remote state estimation. Both schedules overcome the essential difficulties of existing …

In recent years, a compelling need has arisen to understand the effects of distributed
information structures on estimation and filtering. In this paper, a bibliographical review on …

This paper addresses the problem of cooperative localization (CL) under severe
communication constraints. Specifically, we present minimum mean square error (MMSE) …

In recent years, wireless sensor networks (WSN) have produced a large amount of data that
need to be processed, delivered, and assessed according to the application objectives. The …

Low energy consumption and limited power supply are significant factors for wireless sensor
networks (WSNs); thus, distributed state estimation and data fusion with quantized …

Motivated by a peer-to-peer estimation algorithm in which adaptive weights are optimized to
minimize the estimation error variance, we formulate and solve a novel nonconvex Lipschitz …

Teams of mobile robots are becoming increasingly popular to measure and estimate
quantities of interest at spatially distributed locations. They have been used in tasks such as …

Limited bandwidth is an unavoidable constraint for data transmission from local sensors to
the fusion center over sensor networks. For a networked target tracking system with single …

We propose a sequential framework for the distributed multiple-sensor estimation and
coding problem that decomposes the problem into a series of side-informed source coding …