  We study age of information in a multiple source-multiple destination setting
with a focus on its scaling in large wireless networks. There are $n$ nodes
that are randomly paired with each other on a fixed area to form $n$
source-destination (S-D) pairs. We propose a three-phase transmission scheme
which utilizes local cooperation between the nodes by forming what we call mega
update packets to serve multiple S-D pairs at once. We show that under the
proposed scheme average age of an S-D pair scales as $O(n^{\frac{1}{4}})$ as
the number of users, $n$, in the network grows. To the best of our knowledge,
this is the best age scaling result for a multiple source-multiple destination
setting.
