This paper presents a distributed fusion estimation method for estimating states of a
dynamical process observed by wireless sensor networks (WSNs) with random packet …

Challenges associated with the scarcity of bandwidth and power in wireless
communications have to be addressed. For the state-estimation problems discussed in the …

This paper is concerned with the distributed finite-horizon fusion Kalman filtering problem for
a class of networked multi-sensor fusion systems (NMFSs) in a bandwidth and energy …

Sensor nodes in a WSN are usually battery driven and hence operate on an extremely frugal
energy budget. Experimental studies show that communication is a major source of energy …

This paper is concerned with the multi-rate distributed fusion estimation for maneuvering
target tracking in wireless sensor networks (WSNs). A multi-rate fusion strategy and a …

This article presents an environmentally adaptive event-driven robust square root cubature
Kalman filter (EAERCKF) for received-signal-strength-based (RSS-based) moving targets …

This article presents a hybrid robust sequential fusion estimation (HRSFE) method for
moving-target localization in mobile asynchronous wireless sensor networks (WSNs). The …

A novel distributed particle filter algorithm is presented, called drift homotopy likelihood
bridging particle filter (DHLB-PF). The DHLB-PF is designed to surmount the degeneracy …

This paper is concerned with the sequential fusion estimation for mobile sensor node
localizations with received signal strength measurements in mobile wireless sensor …

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 …