A Mobile Agent-Based Method for Logistics Coordination Management.
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| Title: | A Mobile Agent-Based Method for Logistics Coordination Management. |
|---|---|
| Authors: | Chen, Yong1 13507699675@163.com |
| Source: | International Journal of Interactive Mobile Technologies. 2026, Vol. 20 Issue 7, p168-182. 15p. |
| Subjects: | Logistics, Mobile agent systems, Scheduling, Drone aircraft, Decision making, Automated guided vehicle systems, Edge computing, Digital twin |
| Abstract: | To address the fundamental limitations of conventional logistics coordination systems--including delayed responses in dynamic environments, low collaboration efficiency, and rigid resource allocation--a cloud-edge-end collaborative mobile agent management framework for logistics scenarios was proposed by integrating recent advances in mobile agents, mobile edge computing, and digital twin technologies. This study introduced three major technical innovations. At the architectural level, a digital twin-driven, hierarchically decoupled open ecosystem was constructed, overcoming the constraints of traditional centralized control paradigms. At the mechanism level, a multimodal coordination mechanism was designed, achieving dynamic multi-issue task allocation, supporting context-aware adaptive decision-making, and enhancing the handling of complex problems. At the technical level, mobile edge computing-enabled task offloading strategies and lightweight real-time digital twin simulation were integrated to improve real-time responsiveness and reduce device energy consumption in mobile environments. To validate the effectiveness of the proposed framework, two representative experimental scenarios were constructed: a warehouse-distribution integrated automated guided vehicle coordination scenario and an urban last-mile hybrid delivery scenario involving unmanned aerial vehicles and automated guided vehicles. Comparative simulation experiments were conducted using an AnyLogic-ROS co-simulation platform. The results demonstrate that the proposed method significantly outperformed conventional centralized scheduling and standard multi-agent approaches in terms of end-to-end decision latency, task conflict resolution success rate, energy consumption, and adaptability to dynamic environments. These findings provide an innovative paradigm and robust technical support for the large-scale application of mobile agent technologies in logistics coordination management. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Interactive Mobile Technologies is the property of International Journal of Interactive Mobile Technologies 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: 192950830 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A Mobile Agent-Based Method for Logistics Coordination Management. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chen%2C+Yong%22">Chen, Yong</searchLink><relatesTo>1</relatesTo><i> 13507699675@163.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Interactive+Mobile+Technologies%22">International Journal of Interactive Mobile Technologies</searchLink>. 2026, Vol. 20 Issue 7, p168-182. 15p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Logistics%22">Logistics</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+agent+systems%22">Mobile agent systems</searchLink><br /><searchLink fieldCode="DE" term="%22Scheduling%22">Scheduling</searchLink><br /><searchLink fieldCode="DE" term="%22Drone+aircraft%22">Drone aircraft</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Automated+guided+vehicle+systems%22">Automated guided vehicle systems</searchLink><br /><searchLink fieldCode="DE" term="%22Edge+computing%22">Edge computing</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+twin%22">Digital twin</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: To address the fundamental limitations of conventional logistics coordination systems--including delayed responses in dynamic environments, low collaboration efficiency, and rigid resource allocation--a cloud-edge-end collaborative mobile agent management framework for logistics scenarios was proposed by integrating recent advances in mobile agents, mobile edge computing, and digital twin technologies. This study introduced three major technical innovations. At the architectural level, a digital twin-driven, hierarchically decoupled open ecosystem was constructed, overcoming the constraints of traditional centralized control paradigms. At the mechanism level, a multimodal coordination mechanism was designed, achieving dynamic multi-issue task allocation, supporting context-aware adaptive decision-making, and enhancing the handling of complex problems. At the technical level, mobile edge computing-enabled task offloading strategies and lightweight real-time digital twin simulation were integrated to improve real-time responsiveness and reduce device energy consumption in mobile environments. To validate the effectiveness of the proposed framework, two representative experimental scenarios were constructed: a warehouse-distribution integrated automated guided vehicle coordination scenario and an urban last-mile hybrid delivery scenario involving unmanned aerial vehicles and automated guided vehicles. Comparative simulation experiments were conducted using an AnyLogic-ROS co-simulation platform. The results demonstrate that the proposed method significantly outperformed conventional centralized scheduling and standard multi-agent approaches in terms of end-to-end decision latency, task conflict resolution success rate, energy consumption, and adaptability to dynamic environments. These findings provide an innovative paradigm and robust technical support for the large-scale application of mobile agent technologies in logistics coordination management. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Interactive Mobile Technologies is the property of International Journal of Interactive Mobile Technologies 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: Identifiers: – Type: doi Value: 10.3991/ijim.v20i07.61239 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 168 Subjects: – SubjectFull: Logistics Type: general – SubjectFull: Mobile agent systems Type: general – SubjectFull: Scheduling Type: general – SubjectFull: Drone aircraft Type: general – SubjectFull: Decision making Type: general – SubjectFull: Automated guided vehicle systems Type: general – SubjectFull: Edge computing Type: general – SubjectFull: Digital twin Type: general Titles: – TitleFull: A Mobile Agent-Based Method for Logistics Coordination Management. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chen, Yong IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: 2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 18657923 Numbering: – Type: volume Value: 20 – Type: issue Value: 7 Titles: – TitleFull: International Journal of Interactive Mobile Technologies Type: main |
| ResultId | 1 |
