We consider the management of an energy harvesting wireless sensor network, inspired by
game theory so as to obtain a distributed multi-agent operation. In particular, we focus on …

This paper presents a scalable information theoretic approach to infer the state of an
environment by distributively controlling robots equipped with sensors. The robots iteratively …

Tackling complex team problems requires understanding each team member's skills in order
to devise a task assignment maximizing the team performance. This article proposes a novel …

We consider a flotilla composed of N autonomous mobile agents. Each agent ignores its
absolute position but collects noisy measurements of the relative position of other agents. It …

We consider a participatory sensing scenario where a group of private sensors observes the
same phenomenon, such as air pollution. Since sensors need to be installed and …

In this paper we investigate a dynamic consensus problem for an open multi-agent system.
Open multi-agent systems are characterized by a time-varying set of agents connected by a …

We study a new variant of consensus problems, termed 'local average consensus', in
networks of agents. We consider the task of using sensor networks to perform distributed …

In important applications involving multi-task networks with multiple objectives, agents in the
network need to decide between these multiple objectives and reach an agreement about …

In this paper we propose and analyze a distributed algorithm for achieving globally optimal
decisions, either estimation or detection, through a self-synchronization mechanism among …

We propose a novel generic information-theoretic framework for characterizing the task
difficulty in the Collective Perception paradigm. Our formalism builds on the notion of …