Neural Myerson Auction for Truthful and Energy-Efficient Autonomous Aerial Data Delivery

다국어 초록 (Multilingual Abstract)

A successful deployment of drones provides an idealsolution for surveillance systems. Using drones for surveillancecan provide access to areas that may be difficult or impossible toreach by humans or in-land vehicles gathering images or videorecordings of a specific target in their coverage. Therefore, weintroduces a data delivery drone to transfer collected surveillancedata in harsh communication conditions. This paper proposes aMyerson auction-based asynchronous data delivery in an aerialdistributed data platform in surveillance systems taking batterylimitation and long flight constraints into account. In this paper,multiple delivery drones compete to offer data transfer to a singlefixed-location surveillance drone. Our proposed Myerson auctionbased algorithm, which uses the truthful second-price auction(SPA) as a baseline, is to maximize the seller’s revenue whilemeeting several desirable properties, i.e., individual rationalityand incentive compatibility while pursuing truthful operations.
On top of this SPA-based operations, a deep learning basedframework is additionally designed for delivery performanceimprovements.

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