WPT-enabled UAV Trajectory Design for Healthcare Delivery Using Reinforcement Learning

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Over the last few years, the use of unmanned aerial vehicles (UAVs) has grown, with the goal of being widely deployed in sectors such as deliveries, rescue operations, mining fields, patrolling, and monitoring. However, the limitations of the onboard battery capacity and the flying range pose a problem to most applications while performing daily tasks such as parcel delivery or aerial communications in large areas. This paper proposes a reinforcement learning method to compute optimal trajectories for a UAV, considering both visiting delivery locations and recharging stations. The use of wireless power transfer (WPT) technology allows UAV s to wirelessly recharge their batteries on the fly and therefore to extend their flying range further. In this scenario, we consider several WPT-enabled charging stations placed around the serviced area. The proposed approach leverages a reinforcement learning strategy, and the performance results obtained show its effectiveness in finding an optimal trajectory by minimizing the UAV's travel and service time.

Original languageEnglish
Title of host publication2022 International Wireless Communications and Mobile Computing, IWCMC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages271-277
Number of pages7
ISBN (Electronic)9781665467490
DOIs
Publication statusPublished - 2022
Event18th IEEE International Wireless Communications and Mobile Computing, IWCMC 2022 - Dubrovnik, Croatia
Duration: May 30 2022Jun 3 2022

Publication series

Name2022 International Wireless Communications and Mobile Computing, IWCMC 2022

Conference

Conference18th IEEE International Wireless Communications and Mobile Computing, IWCMC 2022
Country/TerritoryCroatia
CityDubrovnik
Period5/30/226/3/22

Keywords

  • delivery
  • drone
  • healthcare
  • reinforcement learning
  • simulation
  • unmanned aerial vehicle
  • wireless power transfer

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Instrumentation

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