Sensor systems typically operate under resource constraints that prevent the simultaneous
use of all resources all of the time. Sensor management becomes relevant when the sensing …

Renyi entropy and Renyi divergence evidence a long track record of usefulness in
information theory and its applications. Alfred Rényi never got around to generalizing mutual …

Foundations and Applications of Sensor Management presents the emerging theory of
sensor management with applications to real-world examples such as landmine detection …

Multi-armed bandit (MAB) problems are a class of sequential resource allocation problems
concerned with allocating one or more resources among several alternative (competing) …

This paper describes two methodologies for performing distributed particle filtering in a
sensor network. It considers the scenario in which a set of sensor nodes make multiple …

This paper presents a new sensor management method for multitarget filtering, that is
designed based on maximizing a measure of confidence in accuracy of the multitarget state …

We study the problem of sensor-scheduling for target tracking to determine which sensors to
activate over time to trade off tracking performance with sensor usage costs. We approach …

A constrained sensor control method is presented for multiobject tracking using labeled multi-
Bernoulli filters. The proposed framework is based on a novel approximation of the Cauchy …

Radio tagging and tracking are fundamental to understanding the movements and habitats
of wildlife in their natural environments. Today, the most widespread, widely applicable …

This paper presents a sensor-control method for choosing the best next state of the sensors
that provide accurate estimation results in a multitarget tracking application. The proposed …