Dynamic Weighted Voronoi Partitioning With Cooperative Buffer Zones for Endurance-Constrained Multi-UAV Scheduling.
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| Title: | Dynamic Weighted Voronoi Partitioning With Cooperative Buffer Zones for Endurance-Constrained Multi-UAV Scheduling. |
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| Authors: | Gao, Yuxi1 17352153606@163.com, Liu, Lanfen2 liulanfen@mail.lzjtu.cn, Lei, Kai3 823903164@qq.com, Wang, Sheng3 wangsheng0215@yeah.net |
| Source: | IAENG International Journal of Applied Mathematics. Jul2026, Vol. 56 Issue 7, p2803-2816. 14p. |
| Subjects: | Energy consumption, Spatial arrangement, Systems availability |
| Abstract: | In endurance-constrained multi-UAV delivery systems, the dynamic variation of remaining battery energy may lead to reachability failures and cross-region conflicts when conventional static service partitioning methods are adopted. To address this issue, this paper proposes a multi-UAV task scheduling method that integrates dynamic weighted Voronoi partitioning with a cooperative buffer zone mechanism. Based on a multi-stage energy consumption model, the remaining reachable range of each UAV is estimated, and service boundaries are adaptively adjusted through dynamic weight updating. Meanwhile, cooperative buffer zones between neighboring service areas enable task takeover when the originally assigned UAV becomes unreachable. Simulation results show that, compared with non-partitioned scheduling and static Voronoi partitioning strategies, the proposed method improves task completion and reachability while reducing the average energy consumption per task, demonstrating enhanced robustness and cooperation performance. [ABSTRACT FROM AUTHOR] |
| Copyright of IAENG International Journal of Applied Mathematics is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 195026912 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Dynamic Weighted Voronoi Partitioning With Cooperative Buffer Zones for Endurance-Constrained Multi-UAV Scheduling. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Gao%2C+Yuxi%22">Gao, Yuxi</searchLink><relatesTo>1</relatesTo><i> 17352153606@163.com</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Lanfen%22">Liu, Lanfen</searchLink><relatesTo>2</relatesTo><i> liulanfen@mail.lzjtu.cn</i><br /><searchLink fieldCode="AR" term="%22Lei%2C+Kai%22">Lei, Kai</searchLink><relatesTo>3</relatesTo><i> 823903164@qq.com</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Sheng%22">Wang, Sheng</searchLink><relatesTo>3</relatesTo><i> wangsheng0215@yeah.net</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IAENG+International+Journal+of+Applied+Mathematics%22">IAENG International Journal of Applied Mathematics</searchLink>. Jul2026, Vol. 56 Issue 7, p2803-2816. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Spatial+arrangement%22">Spatial arrangement</searchLink><br /><searchLink fieldCode="DE" term="%22Systems+availability%22">Systems availability</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In endurance-constrained multi-UAV delivery systems, the dynamic variation of remaining battery energy may lead to reachability failures and cross-region conflicts when conventional static service partitioning methods are adopted. To address this issue, this paper proposes a multi-UAV task scheduling method that integrates dynamic weighted Voronoi partitioning with a cooperative buffer zone mechanism. Based on a multi-stage energy consumption model, the remaining reachable range of each UAV is estimated, and service boundaries are adaptively adjusted through dynamic weight updating. Meanwhile, cooperative buffer zones between neighboring service areas enable task takeover when the originally assigned UAV becomes unreachable. Simulation results show that, compared with non-partitioned scheduling and static Voronoi partitioning strategies, the proposed method improves task completion and reachability while reducing the average energy consumption per task, demonstrating enhanced robustness and cooperation performance. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IAENG International Journal of Applied Mathematics is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 2803 Subjects: – SubjectFull: Energy consumption Type: general – SubjectFull: Spatial arrangement Type: general – SubjectFull: Systems availability Type: general Titles: – TitleFull: Dynamic Weighted Voronoi Partitioning With Cooperative Buffer Zones for Endurance-Constrained Multi-UAV Scheduling. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gao, Yuxi – PersonEntity: Name: NameFull: Liu, Lanfen – PersonEntity: Name: NameFull: Lei, Kai – PersonEntity: Name: NameFull: Wang, Sheng IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19929978 Numbering: – Type: volume Value: 56 – Type: issue Value: 7 Titles: – TitleFull: IAENG International Journal of Applied Mathematics Type: main |
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