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With the rapid growth of real-time Internet of Things (IoT) applications, theneed for fresh information has surged. Age of Information (AoI) is atailor-made metric to characterize the information freshness perceived by thedevices. In this paper, we investigate the problem of scheduling updates tominimize AoI in broadcast network. In this case, a central controller, e.g. abase station, collects status updates from different sources and schedules themto corresponding clients. Different from previous work, we consider bothstochastic status updates and unreliable links. The problem is first modeled asan infinite horizon average constrained cost Markov decision problem (CMDP).With Lagrangian relaxation, an approximation of Whittle's index is derived anda scheduling policy is designed based on the approximate index. The results inprevious work can be view as degenerate cases of the approximation index policyeither with reliable links or periodic arrival constraints. Simulation resultsdemonstrate the near-optimal performance of the proposed policy.

Optimizing Information Freshness in Broadcast Network with Unreliable Links and Random Arrivals: An Approximate Index Policy