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Dynamic Control Scheme of Multiswarm Persistent Surveillance in a Changing Environment

The persistent surveillance problem has been proved to be an NP hard problem for multiple unmanned aerial vehicle systems (UAVs). However, most studies in multiple UAV control focus on control cooperative path planning in a single swarm, while dynamic deployment of a multiswarm system is neglected....

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Detalles Bibliográficos
Autores principales: Jing, Tian, Wang, Weiping, Wang, Tao, Li, Xiaobo, Zhou, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6360055/
https://www.ncbi.nlm.nih.gov/pubmed/30800159
http://dx.doi.org/10.1155/2019/6025657
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author Jing, Tian
Wang, Weiping
Wang, Tao
Li, Xiaobo
Zhou, Xin
author_facet Jing, Tian
Wang, Weiping
Wang, Tao
Li, Xiaobo
Zhou, Xin
author_sort Jing, Tian
collection PubMed
description The persistent surveillance problem has been proved to be an NP hard problem for multiple unmanned aerial vehicle systems (UAVs). However, most studies in multiple UAV control focus on control cooperative path planning in a single swarm, while dynamic deployment of a multiswarm system is neglected. This paper proposes a collective control scheme to drive a multiswarm UAVs system to spread out over a time-sensible environment to provide persistent adaptive sensor coverage in event-related surveillance scenarios. We design the digital turf model to approximate the mixture information of mission requirements and surveillance reward. Moreover, we design a data clustering-based algorithm for the dynamic assignment of UAV swarms, which can promote workload balance, while also allowing real-time response to emergencies. Finally, we evaluate the proposed architecture by means of simulation and find that our method is superior to the conventional control strategy in terms of detection efficiency and subswarm equilibrium degree.
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spelling pubmed-63600552019-02-24 Dynamic Control Scheme of Multiswarm Persistent Surveillance in a Changing Environment Jing, Tian Wang, Weiping Wang, Tao Li, Xiaobo Zhou, Xin Comput Intell Neurosci Research Article The persistent surveillance problem has been proved to be an NP hard problem for multiple unmanned aerial vehicle systems (UAVs). However, most studies in multiple UAV control focus on control cooperative path planning in a single swarm, while dynamic deployment of a multiswarm system is neglected. This paper proposes a collective control scheme to drive a multiswarm UAVs system to spread out over a time-sensible environment to provide persistent adaptive sensor coverage in event-related surveillance scenarios. We design the digital turf model to approximate the mixture information of mission requirements and surveillance reward. Moreover, we design a data clustering-based algorithm for the dynamic assignment of UAV swarms, which can promote workload balance, while also allowing real-time response to emergencies. Finally, we evaluate the proposed architecture by means of simulation and find that our method is superior to the conventional control strategy in terms of detection efficiency and subswarm equilibrium degree. Hindawi 2019-01-16 /pmc/articles/PMC6360055/ /pubmed/30800159 http://dx.doi.org/10.1155/2019/6025657 Text en Copyright © 2019 Tian Jing et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Jing, Tian
Wang, Weiping
Wang, Tao
Li, Xiaobo
Zhou, Xin
Dynamic Control Scheme of Multiswarm Persistent Surveillance in a Changing Environment
title Dynamic Control Scheme of Multiswarm Persistent Surveillance in a Changing Environment
title_full Dynamic Control Scheme of Multiswarm Persistent Surveillance in a Changing Environment
title_fullStr Dynamic Control Scheme of Multiswarm Persistent Surveillance in a Changing Environment
title_full_unstemmed Dynamic Control Scheme of Multiswarm Persistent Surveillance in a Changing Environment
title_short Dynamic Control Scheme of Multiswarm Persistent Surveillance in a Changing Environment
title_sort dynamic control scheme of multiswarm persistent surveillance in a changing environment
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6360055/
https://www.ncbi.nlm.nih.gov/pubmed/30800159
http://dx.doi.org/10.1155/2019/6025657
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