  A successful deployment of drones provides an ideal solution for surveillance
systems. Using drones for surveillance can provide access to areas that may be
difficult or impossible to reach by humans or in-land vehicles gathering images
or video recordings of a specific target in their coverage. Therefore, we
introduces a data delivery drone to transfer collected surveillance data in
harsh communication conditions. This paper proposes a Myerson auction-based
asynchronous data delivery in an aerial distributed data platform in
surveillance systems taking battery limitation and long flight constraints into
account. In this paper, multiple delivery drones compete to offer data transfer
to a single fixed-location surveillance drone. Our proposed Myerson
auction-based algorithm, which uses the truthful second-price auction (SPA) as
a baseline, is to maximize the seller's revenue while meeting several desirable
properties, i.e., individual rationality and incentive compatibility while
pursuing truthful operations. On top of these SPA-based operations, a deep
learning-based framework is additionally designed for delivery performance
improvements.
