Age of Positioning With Stochastic Motion Models
Abstract
Age of Information (AoI) is a key metric used for evaluating data freshness in communication networks, particularly in systems requiring real-time updates. In positioning applications, maintaining low AoI is critical for ensuring timely and accurate position estimation. This paper introduces an age-informed metric, which we term asAge of Positioning (AoP), that captures the temporal evolution of positioning accuracy for agents following random trajectories and sharing sporadic location updates. We use the random waypoint (RWP) mobility model, which captures stochastic user movements through waypoint-based trajectories. We derive closed-form expressions for this metric under various queuing disciplines and different modes of operation of the agent. The analytical results are verified with numerical simulations, and the existence of optimal operating conditions is demonstrated.
Fields of Study & Subjects
Inertial Sensor and Navigation
Age of Information Optimization
Publication details
- Journal / source
- IEEE Transactions on Vehicular Technology
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Volume
- 75
- Issue
- 7
- Pages
- 15264–15269
- Publication date
- 30 January 2026
- Language
- EN