Value function factorization (VFF) is a popular approach to cooperative multi-agent
reinforcement learning in order to learn local value functions from global rewards. However …

In this paper, a novel cluster-based approach for maximizing the energy efficiency of
wireless small cell networks is proposed. A dynamic mechanism is proposed to locally group …

The world is moving toward a new connected world in which millions of intelligent
processing devices communicate with each other to provide services in transportation …

This paper proposes the concept of Distributed Energy Resource (DER) management,
based on dynamic clustering of energy resources for better coordination of supply and …

This paper develops and analyzes distributed search techniques for use in a peer-to-peer
(P2P) network-based Information Retrieval (IR) system. In the absence of a centralized …

We consider in this paper a class of Publish-Subscribe (pub-sub) systems called topic-
based systems, where users subscribe to topics and are notified on events that belong to …

The partitioning clustering is a technique to classify n objects into k disjoint clusters, and has
been developed for years and widely used in many applications. In this paper, a new …

The deployment of future Internet and communication technologies (ICT) provide intelligent
transportation systems (ITS) with huge volumes of real-time data (Big Data) that need to be …

This paper is about partitioning in parallel and distributed simulation. That means
decomposing the simulation model into a number of components and to properly allocate …

In this paper, we describe the adaptation of an open-source multi-agent platform for
distributed energy applications and the trial deployment of resource-controller agents. The …