Traditional social learning frameworks consider environments with a homogeneous state
where each agent receives observations conditioned on the same hypothesis. In this work …

The distributed estimation of the number of active sensors in a network can be important for
estimation and organization purposes. We propose a design methodology based on the …

Sensing and monitoring of our natural environment are important for sustainability. As
sensor systems grow to a large scale, it will become infeasible to place all sensors under …

Distributed computation emerged in computer science already some decades ago.
Miniaturization led to efficient and low-cost designs of wireless sensor nodes and thus to a …

In this paper, we present a consensus-based framework for decentralized estimation of
deterministic parameters in wireless sensor networks (WSNs). In particular, we propose an …

Robotic swarms and mobile sensor networks are used for environmental monitoring in
various domains and areas of operation. Especially in otherwise inaccessible environments …

A cooperative team's performance strongly depends on the view that the team has of the
environment in which it operates. In a team with many autonomous vehicles and many …

Large scale wireless sensor networks require intelligent and reliable distributed information
processing mechanisms which can effectively delegate decision at the field level …

The past decade has witnessed a rapidly growing interest in decentralized algorithms for
collective decision-making in cyber-physical networks. For a large variety of settings, control …

In noncooperative games, players are self-interested and aim to maximize their own utilities.
The selfishness makes the decision-making of players naturally distributed. This attractive …