  A status updating system is considered in which data from multiple sources
are sampled by an energy harvesting sensor and transmitted to a remote
destination through an erasure channel. The goal is to deliver status updates
of all sources in a timely manner, such that the cumulative long-term average
age-of-information (AoI) is minimized. The AoI for each source is defined as
the time elapsed since the generation time of the latest successful status
update received at the destination from that source. Transmissions are subject
to energy availability, which arrives in units according to a Poisson process,
with each energy unit capable of carrying out one transmission from only one
source. The sensor is equipped with a unit-sized battery to save the incoming
energy. A scheduling policy is designed in order to determine which source is
sampled using the available energy. The problem is studied in two main
settings: no erasure status feedback, and perfect instantaneous feedback.
