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

arXiv: https://arxiv.org/abs/2201.01170 · HTML: https://mlsanity.com/paper/2201.01170/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 6 of its 46 references that are in the map.
- First posted on arXiv 29 Dec 2021.

## Builds on (most cited first, 6 of 6)

- [Survey on UAV Cellular Communications: Practical Aspects, Standardization Advancements, Regulation, and Security Challenges](https://mlsanity.com/paper/1809.01752/) (2018)
- [ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning](https://mlsanity.com/paper/2010.06398/) (2020)
- [Auction-based Charging Scheduling with Deep Learning Framework for Multi-Drone Networks](https://mlsanity.com/paper/2001.03611/) (2020)
- [Optimal Auction For Edge Computing Resource Management in Mobile Blockchain Networks: A Deep Learning Approach](https://mlsanity.com/paper/1711.02844/) (2017)
- [Joint Mobile Charging and Coverage-Time Extension for Unmanned Aerial Vehicles](https://mlsanity.com/paper/2106.14203/) (2021)
- [An Auction-driven Self-organizing Cloud Delivery Model](https://mlsanity.com/paper/1312.2998/) (2013)

## Built on by (most cited first, 2 of 2)

- [Multi-Agent Deep Reinforcement Learning for Efficient Passenger Delivery in Urban Air Mobility](https://mlsanity.com/paper/2211.06890/) (2022)
- [Software Simulation and Visualization of Quantum Multi-Drone Reinforcement Learning](https://mlsanity.com/paper/2211.15375/) (2022)

## Abstract (arXiv)

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.