Profit-Driven Adaptive Moving Targets Search with UAV Swarms
This paper presents a novel distributed algorithm for a moving targets search with a team of cooperative unmanned aerial vehicles (UAVs). UAVs sense targets using on-board sensors and the information can be shared with teammates within a communication range. Based on local and shared information, th...
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MDPI AG
2019-03-01
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Series: | Sensors |
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Online Access: | https://www.mdpi.com/1424-8220/19/7/1545 |
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author | Xianfeng Li Jie Chen Fan Deng Hui Li |
author_facet | Xianfeng Li Jie Chen Fan Deng Hui Li |
author_sort | Xianfeng Li |
collection | DOAJ |
description | This paper presents a novel distributed algorithm for a moving targets search with a team of cooperative unmanned aerial vehicles (UAVs). UAVs sense targets using on-board sensors and the information can be shared with teammates within a communication range. Based on local and shared information, the UAV swarm tries to maximize its average observation rate on targets. Unlike traditional approaches that treat the impact from different sources separately, our framework characterizes the impact of moving targets and collaborating UAVs on the moving decision for each UAV with a unified metric called <i>observation profit</i>. Based on this metric, we develop a profit-driven adaptive moving targets search algorithm for a swarm of UAVs. The simulation results validate the effectiveness of our framework in terms of both observation rate and its adaptiveness. |
first_indexed | 2024-04-11T12:12:24Z |
format | Article |
id | doaj.art-023698d93b954414a51a110f05816cb5 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-11T12:12:24Z |
publishDate | 2019-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-023698d93b954414a51a110f05816cb52022-12-22T04:24:33ZengMDPI AGSensors1424-82202019-03-01197154510.3390/s19071545s19071545Profit-Driven Adaptive Moving Targets Search with UAV SwarmsXianfeng Li0Jie Chen1Fan Deng2Hui Li3Shenzhen Key Lab of Information Theory & Future Network Arch, Peking University Shenzhen Graduate School, Shenzhen 518055, ChinaShenzhen Key Lab of Information Theory & Future Network Arch, Peking University Shenzhen Graduate School, Shenzhen 518055, ChinaShenzhen Key Lab of Information Theory & Future Network Arch, Peking University Shenzhen Graduate School, Shenzhen 518055, ChinaShenzhen Key Lab of Information Theory & Future Network Arch, Peking University Shenzhen Graduate School, Shenzhen 518055, ChinaThis paper presents a novel distributed algorithm for a moving targets search with a team of cooperative unmanned aerial vehicles (UAVs). UAVs sense targets using on-board sensors and the information can be shared with teammates within a communication range. Based on local and shared information, the UAV swarm tries to maximize its average observation rate on targets. Unlike traditional approaches that treat the impact from different sources separately, our framework characterizes the impact of moving targets and collaborating UAVs on the moving decision for each UAV with a unified metric called <i>observation profit</i>. Based on this metric, we develop a profit-driven adaptive moving targets search algorithm for a swarm of UAVs. The simulation results validate the effectiveness of our framework in terms of both observation rate and its adaptiveness.https://www.mdpi.com/1424-8220/19/7/1545unmanned aerial vehicle (UAV)moving targets searchobservation profit |
spellingShingle | Xianfeng Li Jie Chen Fan Deng Hui Li Profit-Driven Adaptive Moving Targets Search with UAV Swarms Sensors unmanned aerial vehicle (UAV) moving targets search observation profit |
title | Profit-Driven Adaptive Moving Targets Search with UAV Swarms |
title_full | Profit-Driven Adaptive Moving Targets Search with UAV Swarms |
title_fullStr | Profit-Driven Adaptive Moving Targets Search with UAV Swarms |
title_full_unstemmed | Profit-Driven Adaptive Moving Targets Search with UAV Swarms |
title_short | Profit-Driven Adaptive Moving Targets Search with UAV Swarms |
title_sort | profit driven adaptive moving targets search with uav swarms |
topic | unmanned aerial vehicle (UAV) moving targets search observation profit |
url | https://www.mdpi.com/1424-8220/19/7/1545 |
work_keys_str_mv | AT xianfengli profitdrivenadaptivemovingtargetssearchwithuavswarms AT jiechen profitdrivenadaptivemovingtargetssearchwithuavswarms AT fandeng profitdrivenadaptivemovingtargetssearchwithuavswarms AT huili profitdrivenadaptivemovingtargetssearchwithuavswarms |