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A status updating system is considered in which multiple data sourcesgenerate packets to be delivered to a destination through a shared energyharvesting sensor. Only one source's data, when available, can be transmittedby the sensor at a time, subject to energy availability. Transmissions areprune to erasures, and each successful transmission constitutes a status updatefor its corresponding source at the destination. The goal is to schedule sourcetransmissions such that the collective long-term average age-of-information(AoI) is minimized. AoI is defined as the time elapsed since the latestsuccessfully-received data has been generated at its source. To solve thisproblem, the case with a single source is first considered, with a focus onthreshold waiting policies, in which the sensor attempts transmission only ifthe time until both energy and data are available grows above a certainthreshold. The distribution of the AoI is fully characterized under such apolicy. This is then used to analyze the performance of the multiple sourcescase under maximum-age-first scheduling, in which the sensor's resources arededicated to the source with the maximum AoI at any given time. The achievablecollective long-term average AoI is derived in closed-form. Multiple numericalevaluations are demonstrated to show how the optimal threshold value behaves asa function of the system parameters, and showcase the benefits of athreshold-based waiting policy with intermittent energy and data arrivals.

Timely Updating with Intermittent Energy and Data for Multiple Sources over Erasure Channels