Auction-based Charging Scheduling with Deep Learning Framework for Multi-Drone Networks

by   MyungJae Shin, et al.

State-of-the-art drone technologies have severe flight time limitations due to weight constraints, which inevitably lead to a relatively small amount of available energy. Therefore, frequent battery replacement or recharging is necessary in applications such as delivery, exploration, or support to the wireless infrastructure. Mobile charging stations (i.e., mobile stations with charging equipment) for outdoor ad-hoc battery charging is one of the feasible solutions to address this issue. However, the ability of these platforms to charge the drones is limited in terms of the number and charging time. This paper designs an auction-based mechanism to control the charging schedule in multi-drone setting. In this paper, charging time slots are auctioned, and their assignment is determined by a bidding process. The main challenge in developing this framework is the lack of prior knowledge on the distribution of the number of drones participating in the auction. Based on optimal second-price-auction, the proposed formulation, then, relies on deep learning algorithms to learn such distribution online. Numerical results from extensive simulations show that the proposed deep learning-based approach provides effective battery charging control in multi-drone scenarios.


page 1

page 10

page 14


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

A successful deployment of drones provides an ideal solution for surveil...

On the Influence of Charging Stations Spatial Distribution on Aerial Wireless Networks

Using drones for cellular coverage enhancement is a recent technology th...

Mobile Wireless Rechargeable UAV Networks: Challenges and Solutions

Unmanned aerial vehicles (UAVs) can help facilitate cost-effective and f...

In-Flight Energy-Driven Composition of Drone Swarm Services

We propose a novel framework for swarm-based drone delivery services wit...

Time-Efficient Mars Exploration of Simultaneous Coverage and Charging with Multiple Drones

This paper presents a time-efficient scheme for Mars exploration by the ...

A Survey of Online Auction Mechanism Design Using Deep Learning Approaches

Online auction has been very widespread in the recent years. Platform ad...

Optimized Deployment of Autonomous Drones to Improve User Experience in Cellular Networks

Modern wireless traffic demand pushes Internet Service Providers to deve...

Please sign up or login with your details

Forgot password? Click here to reset