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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....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
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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. |
format | Online Article Text |
id | pubmed-6360055 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
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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