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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Main Authors: Xianfeng Li, Jie Chen, Fan Deng, Hui Li
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Sensors
Subjects:
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.
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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 &amp; Future Network Arch, Peking University Shenzhen Graduate School, Shenzhen 518055, ChinaShenzhen Key Lab of Information Theory &amp; Future Network Arch, Peking University Shenzhen Graduate School, Shenzhen 518055, ChinaShenzhen Key Lab of Information Theory &amp; Future Network Arch, Peking University Shenzhen Graduate School, Shenzhen 518055, ChinaShenzhen Key Lab of Information Theory &amp; 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