Age of Information from multiple strategic sources analyzed via game theory, Prof. Leonardo Badia


Age of Information (AoI) is defined as the time elapsed since the last correct reception of information from a source. It is a performance metric recently addressed by some authors as more important than throughput e.g. for sensing applications – in fact, sending data bursts and then not updating for a long time is worse than sparsely but regularly keeping the receiver up-to-date.

This talk investigates a system with strategic sources (meaning they use game theory), making independent and periodic decisions whether to send an update, where they balance the expected utility of updating versus the cost in doing so. Uncoordinated transmissions are often considered inefficient and unstable from a game theoretic perspective, because the players (i.e., the transmitters) want to maximize their individual utility and tend to be aggressive. We highlight that our scenario can be formalized as a game, whose Nash equilibria present some catchy topological results, also hinting at the possible design choices for achieving overall efficiency of a distributed control.

Short bio of Prof. Leonardo Badia

Leonardo Badia received both the Laurea degree (summa cum laude) in electrical engineering and the Ph.D. in information engineering (with highest mark) from the University of Ferrara, in year 2000 and 2004, respectively. From 2000 to 2006 he was with the Department of Engineering, University of Ferrara. Between 2002 and 2003 he visited the RST Labs (now Wireless@KTH) at the Royal Institute of Technology (KTH), Stockholm, Sweden. In May 2006, he moved to the IMT Lucca Institute for Advanced Studies, Lucca, Italy, as an Assistant Professor. In March 2011 he joined the faculty of the University of Padova as an Assistant Professor. In 2016, he was promoted to Associate Professor.
He is author of more than 200 scientific papers published in international peer-reviewed journals or conferences. His research interests are in the broad area of mathematical optimization for communication networks, including analysis of transmission protocols via Markov models; cross-layer optimization of routing/scheduling/resource allocation; Age-of-Information; models for energy harvesting; applications of game theory to communication networks.


When: 07/12/2022

Where: Sala Multimediale @ DIIEM, Roma Tre University

Leave a Reply

Your email address will not be published. Required fields are marked *