An Efficient Multi-agent Deep Deterministic Policy Gradient-Based 3D Dynamic Coverage Algorithm

Wei Zhang, Lei Lei, Lijuan Zhang*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This work studies the problem of dynamic coverage control of multiple Unmanned Aerial Vehicles (UAVs) in the 3 dimensional (3D) environment. In this work, an efficient multi-agent deep deterministic policy gradient-based dynamic surface coverage (MADDPG-DSC) algorithm is proposed. In MADDPG-DSC, a digital elevation-based surface area calculation method is introduced to effectively allocate the points of interest (PoIs). Next, a cooperative trajectory control policy with multi-agent deep deterministic policy gradient is developed to guide the UAVs. Comparing with existing works, MADDPG-DSC shows better performance in terms of larger coverage rate, higher connectivity and lower energy consumption.

Original languageEnglish
Title of host publicationProceedings of the 2nd International Conference on Internet of Things, Communication and Intelligent Technology
EditorsJian Dong, Long Zhang, Deqiang Cheng
PublisherSpringer Science and Business Media Deutschland GmbH
Pages81-89
Number of pages9
ISBN (Print)9789819727568
DOIs
Publication statusPublished - 2024
Externally publishedYes
Event2nd International Conference on Internet of Things, Communication and Intelligent Technology, IoTCIT 2023 - Xuzhou, China
Duration: 22 Sept 202324 Sept 2023

Publication series

NameLecture Notes in Electrical Engineering
Volume1197
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference2nd International Conference on Internet of Things, Communication and Intelligent Technology, IoTCIT 2023
Country/TerritoryChina
CityXuzhou
Period22/09/2324/09/23

Keywords

  • 3D coverage
  • connectivity
  • energy consumption
  • MADDPG
  • UAV

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