  We consider a fully-connected wireless gossip network which consists of a
source and $n$ receiver nodes. The source updates itself with a Poisson process
and also sends updates to the nodes as Poisson arrivals. Upon receiving the
updates, the nodes update their knowledge about the source. The nodes gossip
the data among themselves in the form of Poisson arrivals to disperse their
knowledge about the source. The total gossiping rate is bounded by a
constraint. The goal of the network is to be as timely as possible with the
source. In this work, we propose ASUMAN, a distributed opportunistic gossiping
scheme, where after each time the source updates itself, each node waits for a
time proportional to its current age and broadcasts a signal to the other nodes
of the network. This allows the nodes in the network which have higher age to
remain silent and only the low-age nodes to gossip, thus utilizing a
significant portion of the constrained total gossip rate. We calculate the
average age for a typical node in such a network with symmetric settings and
show that the theoretical upper bound on the age scales as $O(1)$. ASUMAN, with
an average age of $O(1)$, offers significant gains compared to a system where
the nodes just gossip blindly with a fixed update rate in which case the age
scales as $O(\log n)$.
