In this presentation, we explore recent breakthroughs in Age of Information optimization, shedding light on previously unsolved challenges. We begin by introducing an implementation of our prior research, applied to multi-agent robotics. This discussion prompts two critical inquiries: 1) How can we optimize information freshness when monitoring coupled sources sending correlated updates? 2) Is it possible to design distributed scheduling protocols, akin to CSMA, that prioritize information freshness while maintaining performance guarantees comparable to centralized protocols? Our talk showcases our latest theoretical findings that address these questions and provide promising solutions.
Vishrant Tripathi recently obtained a Ph.D. in the EECS department at MIT, working with Prof. Eytan Modiano at the Laboratory for Information and Decision Systems (LIDS). His research is on the modeling, analysis and design of communication networks, with emphasis on wireless and real-time networks. His current focus is on scheduling problems in networked control systems, robotics and federated learning.