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EDGE COMPUTING TERMINAL DEPLOYMENT IN POWER INTERNET OF THINGS BASED ON CULTURAL ANT COLONY ALGORITHM.

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Title: EDGE COMPUTING TERMINAL DEPLOYMENT IN POWER INTERNET OF THINGS BASED ON CULTURAL ANT COLONY ALGORITHM.
Authors: Wu, Zhengrong1, Li, Hua1 lihua0298@igit.ac.cn, Yin, Furong2, Liu, Zilong2, Chen, Wenqin2
Source: International Journal of Industrial Engineering. 2026, Vol. 33 Issue 4, p1096-1111. 16p.
Subjects: Edge computing, Ant algorithms, Internet of things, Energy consumption, Swarm intelligence, Resource allocation, Telecommunication systems
Abstract: This paper addresses the dynamic deployment of edge computing terminals in the heterogeneous Power Internet of Things (PIoT), where large-scale devices, fluctuating concurrency, and spatial heterogeneity challenge the balance among coverage, resource efficiency, and cost. We propose a dynamic deployment strategy based on the Cultural Ant Colony Algorithm (CACA). A multi-dimensional terminal model is constructed, covering candidate locations and hardware parameters. With minimization of annual average deployment cost as the objective, constraints including communication uniqueness, hardware adaptability, and delay are incorporated. CACA integrates swarm intelligence and cultural evolution via pheromone-guided search, elite collaboration, and global update to yield near-optimal deployment plans. Experiments show that our method achieves full coverage under varying states, saves over RMB 110,000, reduces response time by >22%, and lowers energy consumption and failure rate by >15% and >18%, respectively. It demonstrates superior engineering applicability and optimization efficiency. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Industrial Engineering is the property of International Journal of Industrial Engineering 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
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  Data: EDGE COMPUTING TERMINAL DEPLOYMENT IN POWER INTERNET OF THINGS BASED ON CULTURAL ANT COLONY ALGORITHM.
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  Data: <searchLink fieldCode="AR" term="%22Wu%2C+Zhengrong%22">Wu, Zhengrong</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Li%2C+Hua%22">Li, Hua</searchLink><relatesTo>1</relatesTo><i> lihua0298@igit.ac.cn</i><br /><searchLink fieldCode="AR" term="%22Yin%2C+Furong%22">Yin, Furong</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Liu%2C+Zilong%22">Liu, Zilong</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Chen%2C+Wenqin%22">Chen, Wenqin</searchLink><relatesTo>2</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Industrial+Engineering%22">International Journal of Industrial Engineering</searchLink>. 2026, Vol. 33 Issue 4, p1096-1111. 16p.
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  Data: <searchLink fieldCode="DE" term="%22Edge+computing%22">Edge computing</searchLink><br /><searchLink fieldCode="DE" term="%22Ant+algorithms%22">Ant algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+of+things%22">Internet of things</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Swarm+intelligence%22">Swarm intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Resource+allocation%22">Resource allocation</searchLink><br /><searchLink fieldCode="DE" term="%22Telecommunication+systems%22">Telecommunication systems</searchLink>
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  Data: This paper addresses the dynamic deployment of edge computing terminals in the heterogeneous Power Internet of Things (PIoT), where large-scale devices, fluctuating concurrency, and spatial heterogeneity challenge the balance among coverage, resource efficiency, and cost. We propose a dynamic deployment strategy based on the Cultural Ant Colony Algorithm (CACA). A multi-dimensional terminal model is constructed, covering candidate locations and hardware parameters. With minimization of annual average deployment cost as the objective, constraints including communication uniqueness, hardware adaptability, and delay are incorporated. CACA integrates swarm intelligence and cultural evolution via pheromone-guided search, elite collaboration, and global update to yield near-optimal deployment plans. Experiments show that our method achieves full coverage under varying states, saves over RMB 110,000, reduces response time by >22%, and lowers energy consumption and failure rate by >15% and >18%, respectively. It demonstrates superior engineering applicability and optimization efficiency. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of International Journal of Industrial Engineering is the property of International Journal of Industrial Engineering 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:
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    Identifiers:
      – Type: doi
        Value: 10.23055/ijietap.2026.33.4.11759
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 16
        StartPage: 1096
    Subjects:
      – SubjectFull: Edge computing
        Type: general
      – SubjectFull: Ant algorithms
        Type: general
      – SubjectFull: Internet of things
        Type: general
      – SubjectFull: Energy consumption
        Type: general
      – SubjectFull: Swarm intelligence
        Type: general
      – SubjectFull: Resource allocation
        Type: general
      – SubjectFull: Telecommunication systems
        Type: general
    Titles:
      – TitleFull: EDGE COMPUTING TERMINAL DEPLOYMENT IN POWER INTERNET OF THINGS BASED ON CULTURAL ANT COLONY ALGORITHM.
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            NameFull: Wu, Zhengrong
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            NameFull: Li, Hua
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            NameFull: Yin, Furong
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            NameFull: Liu, Zilong
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            NameFull: Chen, Wenqin
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            – D: 01
              M: 07
              Text: 2026
              Type: published
              Y: 2026
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              Value: 33
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