Optimizing Age of Information in Multi-Stream Status Update Systems: A Game Theory Perspective

This work focuses on the problem of data generation rate control in multi-stream status update system and proposes a decentralized node data generation rate control algorithm based on game theory. By analyzing the interaction between nodes during data transmission, a non-cooperative game model for node data generation rate is constructed. It is proven that this game has a unique Nash Equilibrium (NE), and a corresponding search algorithm is designed for nodes to ensure the fast convergence to the NE for the system. Research results demonstrate that using the proposed generation rate control algorithm can significantly improve the system utility of uncontrolled competition between nodes.