The integration of data and knowledge from several sources is known as data fusion. This
paper summarizes the state of the data fusion field and describes the most relevant studies …

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 …

Accurate and low-cost sensor localization is a critical requirement for the deployment of
wireless sensor networks in a wide variety of applications. In cooperative localization …

With the recent technological advances in wireless communication and networking, coupled
with the availability of intelligent and low-cost actor and sensor devices with powerful …

Many problems in decision making, monitoring, fault detection, and control rely on the
knowledge of state variables and time-varying parameters that are not directly measured by …

An adaptive distributed strategy is developed based on incremental techniques. The
proposed scheme addresses the problem of linear estimation in a cooperative fashion, in …

Distributed particle filter (DPF) algorithms are sequential state estimation algorithms that are
executed by a set of agents. Some or all of the agents perform local particle filtering and …

From the celebrated Gaussian mixture, model averaging estimators to the cutting-edge multi-
Bernoulli mixture of various forms, finite mixture models offer a fundamental and flexible …

Employment of ground-based positioning systems has been consistently growing over the
past decades due to the growing number of applications that require location information …

The paper introduces DILOC, a distributed, iterative algorithm to locate M sensors (with
unknown locations) in R m, m ges 1, with respect to a minimal number of m+ 1 anchors with …