Wireless sensor networks produce a large amount of data that needs to be processed,
delivered, and assessed according to the application objectives. The way these data are …

This paper provides an overview of distributed estimation-compression problems
encountered with wireless sensor networks (WSN). A general formulation of distributed …

Distributed algorithms are developed for optimal estimation of stationary random signals and
smoothing of (even nonstationary) dynamical processes based on generally correlated …

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

This paper considers the problem of power-efficient distributed estimation of vector
parameters related to localized phenomena so that both sensor selection and routing …

In this paper, we consider the problem of multi-centralized Cooperative Localization (CL)
under severe communication constraints, ie, when each robot can communicate only a …

This paper presents hybrid Minimum Mean Squared Error-based estimators for wireless
sensor networks with time-varying communication-bandwidth constraints, focusing on the …

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 …

GNSS has been applied widely. Yet because satellite signals are vulnerable and
susceptible to blockage, the operability of GNSS in urban canyons are greatly hampered …

We consider the problem of joint-state estimation for mobile wireless sensor networks (WSN)
using noisy analog observations from spatially-distributed sensors. Due to communication …